{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Ben Bagozzi\Desktop\Replication Files\Models_2_through_5_Tables_A5_A7_A9_A11_A13_A15_A17_A21.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}16 Apr 2021, 08:17:38
{txt}
{com}. 
. *read-in monadic data
. use "MonMalariaDataset.dta"
{txt}
{com}. 
. *xtset data
. sort cowcode_2 year5
{txt}
{com}. xtset cowcode_2 year5
{res}{txt}{col 8}panel variable:  {res}cowcode_2 (unbalanced)
{txt}{col 9}time variable:  {res}{col 25}year5, 1 to 12
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}. 
. 
. *************************************************************************************
. **Table A.5: Determinants of Monadic Diplomatic Representation, Main Specifications**
. *************************************************************************************
. 
. *Pooled model
. nbreg dr_1_at_2_m Lmalaria_interp_2_m Lcid_per_trop_2_m Llog_trade_m  Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Llog_distance_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12
{txt}note: t12 omitted because of collinearity

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4875.3332}  
Iteration 1:{space 3}log likelihood = {res:-4875.2189}  
Iteration 2:{space 3}log likelihood = {res:-4875.2189}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-5193.1925}  
Iteration 1:{space 3}log likelihood = {res:-5023.6054}  
Iteration 2:{space 3}log likelihood = {res:-4998.2503}  
Iteration 3:{space 3}log likelihood = {res: -4998.226}  
Iteration 4:{space 3}log likelihood = {res: -4998.226}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4619.8153}  
Iteration 1:{space 3}log likelihood = {res:-4388.7454}  
Iteration 2:{space 3}log likelihood = {res:-4249.3123}  
Iteration 3:{space 3}log likelihood = {res: -4234.177}  
Iteration 4:{space 3}log likelihood = {res: -4234.072}  
Iteration 5:{space 3}log likelihood = {res: -4234.072}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,072
{txt}{col 49}LR chi2({res}17{txt}){col 67}= {res}   1528.31
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res} -4234.072{txt}{col 49}Pseudo R2{col 67}= {res}    0.1529

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        dr_1_at_2_m{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Lmalaria_interp_2_m {c |}{col 21}{res}{space 2}-.1604234{col 33}{space 2} .0393123{col 44}{space 1}   -4.08{col 53}{space 3}0.000{col 61}{space 4}-.2374741{col 74}{space 3}-.0833726
{txt}{space 2}Lcid_per_trop_2_m {c |}{col 21}{res}{space 2} .2177108{col 33}{space 2} .0349005{col 44}{space 1}    6.24{col 53}{space 3}0.000{col 61}{space 4}  .149307{col 74}{space 3} .2861145
{txt}{space 7}Llog_trade_m {c |}{col 21}{res}{space 2} .0008795{col 33}{space 2} .0000575{col 44}{space 1}   15.28{col 53}{space 3}0.000{col 61}{space 4} .0007667{col 74}{space 3} .0009923
{txt}{space 5}Llog_gdppc_2_m {c |}{col 21}{res}{space 2}  .048379{col 33}{space 2} .0170964{col 44}{space 1}    2.83{col 53}{space 3}0.005{col 61}{space 4} .0148706{col 74}{space 3} .0818873
{txt}{space 7}Lln_cinc_2_m {c |}{col 21}{res}{space 2} .1437586{col 33}{space 2} .0100647{col 44}{space 1}   14.28{col 53}{space 3}0.000{col 61}{space 4} .1240321{col 74}{space 3} .1634851
{txt}{space 5}Ldemocracy_2_m {c |}{col 21}{res}{space 2}-.0963175{col 33}{space 2} .0256149{col 44}{space 1}   -3.76{col 53}{space 3}0.000{col 61}{space 4}-.1465218{col 74}{space 3}-.0461132
{txt}{space 4}Llog_distance_m {c |}{col 21}{res}{space 2}-.2974826{col 33}{space 2} .0352762{col 44}{space 1}   -8.43{col 53}{space 3}0.000{col 61}{space 4}-.3666226{col 74}{space 3}-.2283426
{txt}{space 17}t2 {c |}{col 21}{res}{space 2} .2921639{col 33}{space 2} .1107445{col 44}{space 1}    2.64{col 53}{space 3}0.008{col 61}{space 4} .0751086{col 74}{space 3} .5092192
{txt}{space 17}t3 {c |}{col 21}{res}{space 2} .4440076{col 33}{space 2}  .069266{col 44}{space 1}    6.41{col 53}{space 3}0.000{col 61}{space 4} .3082487{col 74}{space 3} .5797666
{txt}{space 17}t4 {c |}{col 21}{res}{space 2} .4714409{col 33}{space 2} .0640361{col 44}{space 1}    7.36{col 53}{space 3}0.000{col 61}{space 4} .3459325{col 74}{space 3} .5969493
{txt}{space 17}t5 {c |}{col 21}{res}{space 2} .3850908{col 33}{space 2}  .053524{col 44}{space 1}    7.19{col 53}{space 3}0.000{col 61}{space 4} .2801858{col 74}{space 3} .4899958
{txt}{space 17}t6 {c |}{col 21}{res}{space 2} .2957107{col 33}{space 2} .0459023{col 44}{space 1}    6.44{col 53}{space 3}0.000{col 61}{space 4}  .205744{col 74}{space 3} .3856775
{txt}{space 17}t7 {c |}{col 21}{res}{space 2} .5443615{col 33}{space 2} .0417424{col 44}{space 1}   13.04{col 53}{space 3}0.000{col 61}{space 4}  .462548{col 74}{space 3}  .626175
{txt}{space 17}t8 {c |}{col 21}{res}{space 2}  .593823{col 33}{space 2} .0387346{col 44}{space 1}   15.33{col 53}{space 3}0.000{col 61}{space 4} .5179046{col 74}{space 3} .6697415
{txt}{space 17}t9 {c |}{col 21}{res}{space 2} .1424694{col 33}{space 2} .0387562{col 44}{space 1}    3.68{col 53}{space 3}0.000{col 61}{space 4} .0665087{col 74}{space 3} .2184302
{txt}{space 16}t10 {c |}{col 21}{res}{space 2} .1523999{col 33}{space 2} .0384478{col 44}{space 1}    3.96{col 53}{space 3}0.000{col 61}{space 4} .0770437{col 74}{space 3} .2277561
{txt}{space 16}t11 {c |}{col 21}{res}{space 2}  .157163{col 33}{space 2} .0371758{col 44}{space 1}    4.23{col 53}{space 3}0.000{col 61}{space 4} .0842998{col 74}{space 3} .2300262
{txt}{space 16}t12 {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (omitted)
{space 14}_cons {c |}{col 21}{res}{space 2} 5.489091{col 33}{space 2}  .321883{col 44}{space 1}   17.05{col 53}{space 3}0.000{col 61}{space 4} 4.858212{col 74}{space 3}  6.11997
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnalpha {c |}{col 21}{res}{space 2}-2.685198{col 33}{space 2} .0652197{col 61}{space 4}-2.813026{col 74}{space 3} -2.55737
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              alpha {c |}{col 21}{res}{space 2} .0682077{col 33}{space 2} .0044485{col 61}{space 4} .0600231{col 74}{space 3} .0775083
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}1282.29{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. 
. *Pooled (clustered se's) model
. nbreg dr_1_at_2_m Lmalaria_interp_2_m Lcid_per_trop_2_m Llog_trade_m  Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Llog_distance_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12, cluster(cowcode_2)
{txt}note: t12 omitted because of collinearity

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4875.3332}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4875.2189}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4875.2189}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5193.1925}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5023.6054}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4998.2503}  
Iteration 3:{space 3}log pseudolikelihood = {res: -4998.226}  
Iteration 4:{space 3}log pseudolikelihood = {res: -4998.226}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4619.8153}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4388.7454}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4249.3123}  
Iteration 3:{space 3}log pseudolikelihood = {res: -4234.177}  
Iteration 4:{space 3}log pseudolikelihood = {res: -4234.072}  
Iteration 5:{space 3}log pseudolikelihood = {res: -4234.072}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,072
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   1261.52
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -4234.072{txt}{col 49}Pseudo R2{col 67}= {res}    0.1529

{txt}{ralign 85:(Std. Err. adjusted for {res:153} clusters in cowcode_2)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}        dr_1_at_2_m{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Lmalaria_interp_2_m {c |}{col 21}{res}{space 2}-.1604234{col 33}{space 2} .0651702{col 44}{space 1}   -2.46{col 53}{space 3}0.014{col 61}{space 4}-.2881547{col 74}{space 3}-.0326921
{txt}{space 2}Lcid_per_trop_2_m {c |}{col 21}{res}{space 2} .2177108{col 33}{space 2} .0733494{col 44}{space 1}    2.97{col 53}{space 3}0.003{col 61}{space 4} .0739487{col 74}{space 3} .3614729
{txt}{space 7}Llog_trade_m {c |}{col 21}{res}{space 2} .0008795{col 33}{space 2} .0000946{col 44}{space 1}    9.29{col 53}{space 3}0.000{col 61}{space 4}  .000694{col 74}{space 3}  .001065
{txt}{space 5}Llog_gdppc_2_m {c |}{col 21}{res}{space 2}  .048379{col 33}{space 2} .0280597{col 44}{space 1}    1.72{col 53}{space 3}0.085{col 61}{space 4} -.006617{col 74}{space 3}  .103375
{txt}{space 7}Lln_cinc_2_m {c |}{col 21}{res}{space 2} .1437586{col 33}{space 2} .0172858{col 44}{space 1}    8.32{col 53}{space 3}0.000{col 61}{space 4} .1098791{col 74}{space 3} .1776382
{txt}{space 5}Ldemocracy_2_m {c |}{col 21}{res}{space 2}-.0963175{col 33}{space 2} .0364024{col 44}{space 1}   -2.65{col 53}{space 3}0.008{col 61}{space 4}-.1676648{col 74}{space 3}-.0249702
{txt}{space 4}Llog_distance_m {c |}{col 21}{res}{space 2}-.2974826{col 33}{space 2} .0710098{col 44}{space 1}   -4.19{col 53}{space 3}0.000{col 61}{space 4}-.4366594{col 74}{space 3}-.1583059
{txt}{space 17}t2 {c |}{col 21}{res}{space 2} .2921639{col 33}{space 2} .1190142{col 44}{space 1}    2.45{col 53}{space 3}0.014{col 61}{space 4} .0589004{col 74}{space 3} .5254274
{txt}{space 17}t3 {c |}{col 21}{res}{space 2} .4440076{col 33}{space 2}  .084284{col 44}{space 1}    5.27{col 53}{space 3}0.000{col 61}{space 4} .2788139{col 74}{space 3} .6092013
{txt}{space 17}t4 {c |}{col 21}{res}{space 2} .4714409{col 33}{space 2} .0757215{col 44}{space 1}    6.23{col 53}{space 3}0.000{col 61}{space 4} .3230294{col 74}{space 3} .6198524
{txt}{space 17}t5 {c |}{col 21}{res}{space 2} .3850908{col 33}{space 2} .0656118{col 44}{space 1}    5.87{col 53}{space 3}0.000{col 61}{space 4} .2564941{col 74}{space 3} .5136875
{txt}{space 17}t6 {c |}{col 21}{res}{space 2} .2957107{col 33}{space 2} .0569667{col 44}{space 1}    5.19{col 53}{space 3}0.000{col 61}{space 4} .1840581{col 74}{space 3} .4073634
{txt}{space 17}t7 {c |}{col 21}{res}{space 2} .5443615{col 33}{space 2} .0491537{col 44}{space 1}   11.07{col 53}{space 3}0.000{col 61}{space 4}  .448022{col 74}{space 3} .6407011
{txt}{space 17}t8 {c |}{col 21}{res}{space 2}  .593823{col 33}{space 2} .0423171{col 44}{space 1}   14.03{col 53}{space 3}0.000{col 61}{space 4} .5108831{col 74}{space 3}  .676763
{txt}{space 17}t9 {c |}{col 21}{res}{space 2} .1424694{col 33}{space 2} .0259895{col 44}{space 1}    5.48{col 53}{space 3}0.000{col 61}{space 4}  .091531{col 74}{space 3} .1934079
{txt}{space 16}t10 {c |}{col 21}{res}{space 2} .1523999{col 33}{space 2} .0246272{col 44}{space 1}    6.19{col 53}{space 3}0.000{col 61}{space 4} .1041314{col 74}{space 3} .2006684
{txt}{space 16}t11 {c |}{col 21}{res}{space 2}  .157163{col 33}{space 2} .0206503{col 44}{space 1}    7.61{col 53}{space 3}0.000{col 61}{space 4} .1166891{col 74}{space 3} .1976369
{txt}{space 16}t12 {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (omitted)
{space 14}_cons {c |}{col 21}{res}{space 2} 5.489091{col 33}{space 2} .5989557{col 44}{space 1}    9.16{col 53}{space 3}0.000{col 61}{space 4}  4.31516{col 74}{space 3} 6.663023
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnalpha {c |}{col 21}{res}{space 2}-2.685198{col 33}{space 2} .1533384{col 61}{space 4}-2.985736{col 74}{space 3}-2.384661
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              alpha {c |}{col 21}{res}{space 2} .0682077{col 33}{space 2} .0104589{col 61}{space 4} .0505023{col 74}{space 3} .0921202
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Fixed effects model
. xtnbreg dr_1_at_2_m Lmalaria_interp_2_m Llog_trade_m Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12, fe
{txt}note: 19 groups (19 obs) dropped because of only one obs per group
note: t12 omitted because of collinearity
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3283.4946}  
Iteration 1:{space 3}log likelihood = {res:-3276.0138}  
Iteration 2:{space 3}log likelihood = {res: -3275.997}  
Iteration 3:{space 3}log likelihood = {res: -3275.997}  
{res}
{txt}Conditional FE negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}     1,066
{txt}Group variable: {res}cowcode_2{col 49}{txt}Number of groups{col 67}={col 69}{res}       136

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         2
{txt}{col 63}avg{col 67}={col 69}{res}       7.8
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}15{txt}){col 67}={col 70}{res}  1404.28
{txt}Log likelihood  = {res} -3275.997{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        dr_1_at_2_m{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Lmalaria_interp_2_m {c |}{col 21}{res}{space 2} -.097116{col 33}{space 2} .0469275{col 44}{space 1}   -2.07{col 53}{space 3}0.039{col 61}{space 4}-.1890923{col 74}{space 3}-.0051397
{txt}{space 7}Llog_trade_m {c |}{col 21}{res}{space 2} .0008679{col 33}{space 2} .0000821{col 44}{space 1}   10.58{col 53}{space 3}0.000{col 61}{space 4} .0007071{col 74}{space 3} .0010287
{txt}{space 5}Llog_gdppc_2_m {c |}{col 21}{res}{space 2}-.0390357{col 33}{space 2}  .035418{col 44}{space 1}   -1.10{col 53}{space 3}0.270{col 61}{space 4}-.1084538{col 74}{space 3} .0303824
{txt}{space 7}Lln_cinc_2_m {c |}{col 21}{res}{space 2} .0643617{col 33}{space 2} .0307685{col 44}{space 1}    2.09{col 53}{space 3}0.036{col 61}{space 4} .0040566{col 74}{space 3} .1246669
{txt}{space 5}Ldemocracy_2_m {c |}{col 21}{res}{space 2}-.0469268{col 33}{space 2} .0305578{col 44}{space 1}   -1.54{col 53}{space 3}0.125{col 61}{space 4}-.1068191{col 74}{space 3} .0129654
{txt}{space 17}t2 {c |}{col 21}{res}{space 2} .2405379{col 33}{space 2} .1191346{col 44}{space 1}    2.02{col 53}{space 3}0.043{col 61}{space 4} .0070385{col 74}{space 3} .4740374
{txt}{space 17}t3 {c |}{col 21}{res}{space 2} .3124334{col 33}{space 2}  .088077{col 44}{space 1}    3.55{col 53}{space 3}0.000{col 61}{space 4} .1398056{col 74}{space 3} .4850613
{txt}{space 17}t4 {c |}{col 21}{res}{space 2} .3349416{col 33}{space 2} .0812953{col 44}{space 1}    4.12{col 53}{space 3}0.000{col 61}{space 4} .1756058{col 74}{space 3} .4942774
{txt}{space 17}t5 {c |}{col 21}{res}{space 2} .2828581{col 33}{space 2} .0684938{col 44}{space 1}    4.13{col 53}{space 3}0.000{col 61}{space 4} .1486128{col 74}{space 3} .4171034
{txt}{space 17}t6 {c |}{col 21}{res}{space 2} .2134912{col 33}{space 2} .0560637{col 44}{space 1}    3.81{col 53}{space 3}0.000{col 61}{space 4} .1036083{col 74}{space 3} .3233741
{txt}{space 17}t7 {c |}{col 21}{res}{space 2} .4557294{col 33}{space 2}  .044468{col 44}{space 1}   10.25{col 53}{space 3}0.000{col 61}{space 4} .3685738{col 74}{space 3} .5428851
{txt}{space 17}t8 {c |}{col 21}{res}{space 2} .4823862{col 33}{space 2} .0330541{col 44}{space 1}   14.59{col 53}{space 3}0.000{col 61}{space 4} .4176015{col 74}{space 3}  .547171
{txt}{space 17}t9 {c |}{col 21}{res}{space 2} .1018387{col 33}{space 2} .0341115{col 44}{space 1}    2.99{col 53}{space 3}0.003{col 61}{space 4} .0349814{col 74}{space 3}  .168696
{txt}{space 16}t10 {c |}{col 21}{res}{space 2} .1089072{col 33}{space 2}    .0332{col 44}{space 1}    3.28{col 53}{space 3}0.001{col 61}{space 4} .0438364{col 74}{space 3} .1739781
{txt}{space 16}t11 {c |}{col 21}{res}{space 2} .1215428{col 33}{space 2} .0295812{col 44}{space 1}    4.11{col 53}{space 3}0.000{col 61}{space 4} .0635647{col 74}{space 3} .1795209
{txt}{space 16}t12 {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (omitted)
{space 14}_cons {c |}{col 21}{res}{space 2} 3.240459{col 33}{space 2} .3354195{col 44}{space 1}    9.66{col 53}{space 3}0.000{col 61}{space 4} 2.583049{col 74}{space 3} 3.897869
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Random effects model
. xtnbreg dr_1_at_2_m Lmalaria_interp_2_m Lcid_per_trop_2_m Llog_trade_m Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Llog_distance_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12, i(cowcode_2) 
{txt}note: t12 omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4875.3332}  
Iteration 1:{space 3}log likelihood = {res:-4875.2189}  
Iteration 2:{space 3}log likelihood = {res:-4875.2189}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-8040.7755}  
Iteration 1:{space 3}log likelihood = {res:-6033.6555}  
Iteration 2:{space 3}log likelihood = {res:-5807.0194}  
Iteration 3:{space 3}log likelihood = {res:-5001.0743}  
Iteration 4:{space 3}log likelihood = {res:-4998.2286}  
Iteration 5:{space 3}log likelihood = {res: -4998.226}  
Iteration 6:{space 3}log likelihood = {res: -4998.226}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -4998.226}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-4698.5585}  
Iteration 2:{space 3}log likelihood = {res:-4225.0675}  
Iteration 3:{space 3}log likelihood = {res:-4188.9931}  
Iteration 4:{space 3}log likelihood = {res:-4186.3526}  
Iteration 5:{space 3}log likelihood = {res:-4186.3477}  
Iteration 6:{space 3}log likelihood = {res:-4186.3477}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4261.5363}  
Iteration 1:{space 3}log likelihood = {res:-4095.3361}  
Iteration 2:{space 3}log likelihood = {res:-4092.3706}  
Iteration 3:{space 3}log likelihood = {res: -4067.613}  
Iteration 4:{space 3}log likelihood = {res:-4053.9854}  
Iteration 5:{space 3}log likelihood = {res:-4053.3425}  
Iteration 6:{space 3}log likelihood = {res:-4053.3419}  
Iteration 7:{space 3}log likelihood = {res:-4053.3419}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}     1,072
{txt}Group variable: {res}cowcode_2{col 49}{txt}Number of groups{col 67}={col 69}{res}       153

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       7.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}17{txt}){col 67}={col 70}{res}  2305.21
{txt}Log likelihood  = {res}-4053.3419{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        dr_1_at_2_m{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Lmalaria_interp_2_m {c |}{col 21}{res}{space 2}-.1190249{col 33}{space 2} .0427589{col 44}{space 1}   -2.78{col 53}{space 3}0.005{col 61}{space 4}-.2028308{col 74}{space 3}-.0352189
{txt}{space 2}Lcid_per_trop_2_m {c |}{col 21}{res}{space 2} .2528216{col 33}{space 2} .0564497{col 44}{space 1}    4.48{col 53}{space 3}0.000{col 61}{space 4} .1421822{col 74}{space 3} .3634609
{txt}{space 7}Llog_trade_m {c |}{col 21}{res}{space 2} .0009223{col 33}{space 2} .0000614{col 44}{space 1}   15.02{col 53}{space 3}0.000{col 61}{space 4} .0008019{col 74}{space 3} .0010426
{txt}{space 5}Llog_gdppc_2_m {c |}{col 21}{res}{space 2} .0242937{col 33}{space 2} .0241272{col 44}{space 1}    1.01{col 53}{space 3}0.314{col 61}{space 4}-.0229947{col 74}{space 3} .0715821
{txt}{space 7}Lln_cinc_2_m {c |}{col 21}{res}{space 2} .1547551{col 33}{space 2} .0139667{col 44}{space 1}   11.08{col 53}{space 3}0.000{col 61}{space 4} .1273808{col 74}{space 3} .1821293
{txt}{space 5}Ldemocracy_2_m {c |}{col 21}{res}{space 2}-.0557574{col 33}{space 2} .0275304{col 44}{space 1}   -2.03{col 53}{space 3}0.043{col 61}{space 4}-.1097161{col 74}{space 3}-.0017988
{txt}{space 4}Llog_distance_m {c |}{col 21}{res}{space 2}-.3735097{col 33}{space 2} .0595212{col 44}{space 1}   -6.28{col 53}{space 3}0.000{col 61}{space 4}-.4901691{col 74}{space 3}-.2568504
{txt}{space 17}t2 {c |}{col 21}{res}{space 2}  .355455{col 33}{space 2} .1023137{col 44}{space 1}    3.47{col 53}{space 3}0.001{col 61}{space 4} .1549238{col 74}{space 3} .5559862
{txt}{space 17}t3 {c |}{col 21}{res}{space 2} .4288217{col 33}{space 2} .0697283{col 44}{space 1}    6.15{col 53}{space 3}0.000{col 61}{space 4} .2921567{col 74}{space 3} .5654866
{txt}{space 17}t4 {c |}{col 21}{res}{space 2} .4436907{col 33}{space 2} .0639392{col 44}{space 1}    6.94{col 53}{space 3}0.000{col 61}{space 4} .3183723{col 74}{space 3} .5690092
{txt}{space 17}t5 {c |}{col 21}{res}{space 2} .3697662{col 33}{space 2}  .052797{col 44}{space 1}    7.00{col 53}{space 3}0.000{col 61}{space 4}  .266286{col 74}{space 3} .4732463
{txt}{space 17}t6 {c |}{col 21}{res}{space 2} .2951176{col 33}{space 2} .0429805{col 44}{space 1}    6.87{col 53}{space 3}0.000{col 61}{space 4} .2108774{col 74}{space 3} .3793579
{txt}{space 17}t7 {c |}{col 21}{res}{space 2} .5209791{col 33}{space 2} .0363051{col 44}{space 1}   14.35{col 53}{space 3}0.000{col 61}{space 4} .4498225{col 74}{space 3} .5921357
{txt}{space 17}t8 {c |}{col 21}{res}{space 2} .5234786{col 33}{space 2} .0294738{col 44}{space 1}   17.76{col 53}{space 3}0.000{col 61}{space 4} .4657111{col 74}{space 3} .5812462
{txt}{space 17}t9 {c |}{col 21}{res}{space 2} .1523727{col 33}{space 2} .0303857{col 44}{space 1}    5.01{col 53}{space 3}0.000{col 61}{space 4} .0928178{col 74}{space 3} .2119276
{txt}{space 16}t10 {c |}{col 21}{res}{space 2} .1631177{col 33}{space 2} .0300044{col 44}{space 1}    5.44{col 53}{space 3}0.000{col 61}{space 4} .1043103{col 74}{space 3} .2219252
{txt}{space 16}t11 {c |}{col 21}{res}{space 2} .1675475{col 33}{space 2} .0275776{col 44}{space 1}    6.08{col 53}{space 3}0.000{col 61}{space 4} .1134965{col 74}{space 3} .2215986
{txt}{space 16}t12 {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (omitted)
{space 14}_cons {c |}{col 21}{res}{space 2} 6.116129{col 33}{space 2} .5417217{col 44}{space 1}   11.29{col 53}{space 3}0.000{col 61}{space 4} 5.054374{col 74}{space 3} 7.177884
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              /ln_r {c |}{col 21}{res}{space 2}  3.71861{col 33}{space 2} .1598616{col 61}{space 4} 3.405287{col 74}{space 3} 4.031933
{txt}              /ln_s {c |}{col 21}{res}{space 2} 3.858004{col 33}{space 2} .1775571{col 61}{space 4} 3.509999{col 74}{space 3}  4.20601
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                  r {c |}{col 21}{res}{space 2} 41.20707{col 33}{space 2} 6.587428{col 61}{space 4} 30.12294{col 74}{space 3} 56.36976
{txt}                  s {c |}{col 21}{res}{space 2} 47.37071{col 33}{space 2} 8.411005{col 61}{space 4} 33.44823{col 74}{space 3}  67.0883
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}266.01{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. 
. 
. ***************************************************************************************
. **Table A.7: Determinants of Monadic Diplomatic Representation, Non-Lagged Covariates**
. ***************************************************************************************
. 
. *Pooled model
. nbreg dr_1_at_2_m malaria_interp_2_m cid_per_trop_2_m log_trade_m  log_gdppc_2_m ln_cinc_2_m democracy_2_m log_distance_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-6379.6734}  
Iteration 1:{space 3}log likelihood = {res:-6379.1412}  
Iteration 2:{space 3}log likelihood = {res:-6379.1412}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -5843.211}  
Iteration 1:{space 3}log likelihood = {res:-5749.0511}  
Iteration 2:{space 3}log likelihood = {res:-5745.2051}  
Iteration 3:{space 3}log likelihood = {res:-5745.2013}  
Iteration 4:{space 3}log likelihood = {res:-5745.2013}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-5386.3722}  
Iteration 1:{space 3}log likelihood = {res:-5145.2831}  
Iteration 2:{space 3}log likelihood = {res:-5095.4841}  
Iteration 3:{space 3}log likelihood = {res: -5084.846}  
Iteration 4:{space 3}log likelihood = {res: -5084.835}  
Iteration 5:{space 3}log likelihood = {res: -5084.835}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,224
{txt}{col 49}LR chi2({res}18{txt}){col 67}= {res}   1320.73
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res} -5084.835{txt}{col 49}Pseudo R2{col 67}= {res}    0.1149

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       dr_1_at_2_m{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
malaria_interp_2_m {c |}{col 20}{res}{space 2}-.2578692{col 32}{space 2} .0498479{col 43}{space 1}   -5.17{col 52}{space 3}0.000{col 60}{space 4}-.3555693{col 73}{space 3}-.1601691
{txt}{space 2}cid_per_trop_2_m {c |}{col 20}{res}{space 2} .2896572{col 32}{space 2} .0440676{col 43}{space 1}    6.57{col 52}{space 3}0.000{col 60}{space 4} .2032864{col 73}{space 3} .3760281
{txt}{space 7}log_trade_m {c |}{col 20}{res}{space 2} .0008459{col 32}{space 2} .0000668{col 43}{space 1}   12.66{col 52}{space 3}0.000{col 60}{space 4}  .000715{col 73}{space 3} .0009768
{txt}{space 5}log_gdppc_2_m {c |}{col 20}{res}{space 2} .0371715{col 32}{space 2} .0217839{col 43}{space 1}    1.71{col 52}{space 3}0.088{col 60}{space 4}-.0055241{col 73}{space 3} .0798672
{txt}{space 7}ln_cinc_2_m {c |}{col 20}{res}{space 2}  .159485{col 32}{space 2} .0123587{col 43}{space 1}   12.90{col 52}{space 3}0.000{col 60}{space 4} .1352625{col 73}{space 3} .1837076
{txt}{space 5}democracy_2_m {c |}{col 20}{res}{space 2}-.0868632{col 32}{space 2} .0316389{col 43}{space 1}   -2.75{col 52}{space 3}0.006{col 60}{space 4}-.1488744{col 73}{space 3}-.0248521
{txt}{space 4}log_distance_m {c |}{col 20}{res}{space 2}-.2480264{col 32}{space 2} .0451657{col 43}{space 1}   -5.49{col 52}{space 3}0.000{col 60}{space 4}-.3365496{col 73}{space 3}-.1595033
{txt}{space 16}t2 {c |}{col 20}{res}{space 2} .2745256{col 32}{space 2} .1399387{col 43}{space 1}    1.96{col 52}{space 3}0.050{col 60}{space 4} .0002507{col 73}{space 3} .5488004
{txt}{space 16}t3 {c |}{col 20}{res}{space 2} .4242639{col 32}{space 2} .1388613{col 43}{space 1}    3.06{col 52}{space 3}0.002{col 60}{space 4} .1521008{col 73}{space 3} .6964269
{txt}{space 16}t4 {c |}{col 20}{res}{space 2} .1332804{col 32}{space 2} .1366438{col 43}{space 1}    0.98{col 52}{space 3}0.329{col 60}{space 4}-.1345366{col 73}{space 3} .4010974
{txt}{space 16}t5 {c |}{col 20}{res}{space 2}  .226253{col 32}{space 2} .1385043{col 43}{space 1}    1.63{col 52}{space 3}0.102{col 60}{space 4}-.0452105{col 73}{space 3} .4977165
{txt}{space 16}t6 {c |}{col 20}{res}{space 2}  .233015{col 32}{space 2} .1404063{col 43}{space 1}    1.66{col 52}{space 3}0.097{col 60}{space 4}-.0421764{col 73}{space 3} .5082063
{txt}{space 16}t7 {c |}{col 20}{res}{space 2} .4471212{col 32}{space 2} .1431423{col 43}{space 1}    3.12{col 52}{space 3}0.002{col 60}{space 4} .1665675{col 73}{space 3} .7276749
{txt}{space 16}t8 {c |}{col 20}{res}{space 2} .6586117{col 32}{space 2} .1431696{col 43}{space 1}    4.60{col 52}{space 3}0.000{col 60}{space 4} .3780045{col 73}{space 3} .9392188
{txt}{space 16}t9 {c |}{col 20}{res}{space 2}  .212917{col 32}{space 2} .1433158{col 43}{space 1}    1.49{col 52}{space 3}0.137{col 60}{space 4}-.0679768{col 73}{space 3} .4938108
{txt}{space 15}t10 {c |}{col 20}{res}{space 2} .1720819{col 32}{space 2} .1430243{col 43}{space 1}    1.20{col 52}{space 3}0.229{col 60}{space 4}-.1082406{col 73}{space 3} .4524044
{txt}{space 15}t11 {c |}{col 20}{res}{space 2} .0728224{col 32}{space 2} .1451927{col 43}{space 1}    0.50{col 52}{space 3}0.616{col 60}{space 4}-.2117502{col 73}{space 3} .3573949
{txt}{space 15}t12 {c |}{col 20}{res}{space 2} .2321114{col 32}{space 2} .1406633{col 43}{space 1}    1.65{col 52}{space 3}0.099{col 60}{space 4}-.0435836{col 73}{space 3} .5078064
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 5.219754{col 32}{space 2} .4029394{col 43}{space 1}   12.95{col 52}{space 3}0.000{col 60}{space 4} 4.430007{col 73}{space 3}   6.0095
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          /lnalpha {c |}{col 20}{res}{space 2}-1.951493{col 32}{space 2}   .05672{col 60}{space 4}-2.062662{col 73}{space 3}-1.840324
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             alpha {c |}{col 20}{res}{space 2} .1420618{col 32}{space 2} .0080577{col 60}{space 4} .1271151{col 73}{space 3} .1587659
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}2588.61{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. 
. *Pooled (clustered se's) model
. nbreg dr_1_at_2_m malaria_interp_2_m cid_per_trop_2_m log_trade_m  log_gdppc_2_m ln_cinc_2_m democracy_2_m log_distance_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12, cluster(cowcode_2)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-6379.6734}  
Iteration 1:{space 3}log pseudolikelihood = {res:-6379.1412}  
Iteration 2:{space 3}log pseudolikelihood = {res:-6379.1412}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -5843.211}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5749.0511}  
Iteration 2:{space 3}log pseudolikelihood = {res:-5745.2051}  
Iteration 3:{space 3}log pseudolikelihood = {res:-5745.2013}  
Iteration 4:{space 3}log pseudolikelihood = {res:-5745.2013}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5386.3722}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5145.2831}  
Iteration 2:{space 3}log pseudolikelihood = {res:-5095.4841}  
Iteration 3:{space 3}log pseudolikelihood = {res: -5084.846}  
Iteration 4:{space 3}log pseudolikelihood = {res: -5084.835}  
Iteration 5:{space 3}log pseudolikelihood = {res: -5084.835}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,224
{txt}{col 49}Wald chi2({res}18{txt}){col 67}= {res}   1050.06
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -5084.835{txt}{col 49}Pseudo R2{col 67}= {res}    0.1149

{txt}{ralign 84:(Std. Err. adjusted for {res:153} clusters in cowcode_2)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}       dr_1_at_2_m{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
malaria_interp_2_m {c |}{col 20}{res}{space 2}-.2578692{col 32}{space 2} .0798737{col 43}{space 1}   -3.23{col 52}{space 3}0.001{col 60}{space 4}-.4144189{col 73}{space 3}-.1013195
{txt}{space 2}cid_per_trop_2_m {c |}{col 20}{res}{space 2} .2896572{col 32}{space 2} .0895032{col 43}{space 1}    3.24{col 52}{space 3}0.001{col 60}{space 4} .1142341{col 73}{space 3} .4650804
{txt}{space 7}log_trade_m {c |}{col 20}{res}{space 2} .0008459{col 32}{space 2} .0001026{col 43}{space 1}    8.25{col 52}{space 3}0.000{col 60}{space 4} .0006449{col 73}{space 3} .0010469
{txt}{space 5}log_gdppc_2_m {c |}{col 20}{res}{space 2} .0371715{col 32}{space 2} .0340556{col 43}{space 1}    1.09{col 52}{space 3}0.275{col 60}{space 4}-.0295762{col 73}{space 3} .1039192
{txt}{space 7}ln_cinc_2_m {c |}{col 20}{res}{space 2}  .159485{col 32}{space 2} .0201964{col 43}{space 1}    7.90{col 52}{space 3}0.000{col 60}{space 4} .1199009{col 73}{space 3} .1990692
{txt}{space 5}democracy_2_m {c |}{col 20}{res}{space 2}-.0868632{col 32}{space 2} .0430586{col 43}{space 1}   -2.02{col 52}{space 3}0.044{col 60}{space 4}-.1712565{col 73}{space 3}  -.00247
{txt}{space 4}log_distance_m {c |}{col 20}{res}{space 2}-.2480264{col 32}{space 2} .0933984{col 43}{space 1}   -2.66{col 52}{space 3}0.008{col 60}{space 4}-.4310839{col 73}{space 3} -.064969
{txt}{space 16}t2 {c |}{col 20}{res}{space 2} .2745256{col 32}{space 2} .1915728{col 43}{space 1}    1.43{col 52}{space 3}0.152{col 60}{space 4}-.1009503{col 73}{space 3} .6500014
{txt}{space 16}t3 {c |}{col 20}{res}{space 2} .4242639{col 32}{space 2}  .195361{col 43}{space 1}    2.17{col 52}{space 3}0.030{col 60}{space 4} .0413633{col 73}{space 3} .8071644
{txt}{space 16}t4 {c |}{col 20}{res}{space 2} .1332804{col 32}{space 2}  .202498{col 43}{space 1}    0.66{col 52}{space 3}0.510{col 60}{space 4}-.2636084{col 73}{space 3} .5301692
{txt}{space 16}t5 {c |}{col 20}{res}{space 2}  .226253{col 32}{space 2} .2044235{col 43}{space 1}    1.11{col 52}{space 3}0.268{col 60}{space 4}-.1744098{col 73}{space 3} .6269157
{txt}{space 16}t6 {c |}{col 20}{res}{space 2}  .233015{col 32}{space 2} .2079539{col 43}{space 1}    1.12{col 52}{space 3}0.262{col 60}{space 4}-.1745673{col 73}{space 3} .6405972
{txt}{space 16}t7 {c |}{col 20}{res}{space 2} .4471212{col 32}{space 2} .2141992{col 43}{space 1}    2.09{col 52}{space 3}0.037{col 60}{space 4} .0272986{col 73}{space 3} .8669439
{txt}{space 16}t8 {c |}{col 20}{res}{space 2} .6586117{col 32}{space 2} .2165094{col 43}{space 1}    3.04{col 52}{space 3}0.002{col 60}{space 4}  .234261{col 73}{space 3} 1.082962
{txt}{space 16}t9 {c |}{col 20}{res}{space 2}  .212917{col 32}{space 2} .2172408{col 43}{space 1}    0.98{col 52}{space 3}0.327{col 60}{space 4}-.2128672{col 73}{space 3} .6387012
{txt}{space 15}t10 {c |}{col 20}{res}{space 2} .1720819{col 32}{space 2} .2202553{col 43}{space 1}    0.78{col 52}{space 3}0.435{col 60}{space 4}-.2596106{col 73}{space 3} .6037744
{txt}{space 15}t11 {c |}{col 20}{res}{space 2} .0728224{col 32}{space 2} .2256202{col 43}{space 1}    0.32{col 52}{space 3}0.747{col 60}{space 4} -.369385{col 73}{space 3} .5150298
{txt}{space 15}t12 {c |}{col 20}{res}{space 2} .2321114{col 32}{space 2} .2193664{col 43}{space 1}    1.06{col 52}{space 3}0.290{col 60}{space 4}-.1978387{col 73}{space 3} .6620616
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 5.219754{col 32}{space 2} .7420603{col 43}{space 1}    7.03{col 52}{space 3}0.000{col 60}{space 4} 3.765342{col 73}{space 3} 6.674165
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          /lnalpha {c |}{col 20}{res}{space 2}-1.951493{col 32}{space 2} .1241101{col 60}{space 4}-2.194745{col 73}{space 3}-1.708242
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             alpha {c |}{col 20}{res}{space 2} .1420618{col 32}{space 2} .0176313{col 60}{space 4}  .111387{col 73}{space 3}  .181184
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Fixed effects model
. xtnbreg dr_1_at_2_m malaria_interp_2_m log_trade_m log_gdppc_2_m ln_cinc_2_m democracy_2_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12, fe
{txt}note: 1 group (1 obs) dropped because of only one obs per group
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -4151.609}  
Iteration 1:{space 3}log likelihood = {res:-4051.6178}  
Iteration 2:{space 3}log likelihood = {res:-4032.1933}  
Iteration 3:{space 3}log likelihood = {res:-4031.1925}  
Iteration 4:{space 3}log likelihood = {res:-4031.1908}  
Iteration 5:{space 3}log likelihood = {res:-4031.1908}  
{res}
{txt}Conditional FE negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}     1,238
{txt}Group variable: {res}cowcode_2{col 49}{txt}Number of groups{col 67}={col 69}{res}       154

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         2
{txt}{col 63}avg{col 67}={col 69}{res}       8.0
{txt}{col 63}max{col 67}={col 69}{res}        12

{txt}{col 49}Wald chi2({res}16{txt}){col 67}={col 70}{res}  1735.29
{txt}Log likelihood  = {res}-4031.1908{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       dr_1_at_2_m{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
malaria_interp_2_m {c |}{col 20}{res}{space 2}-.2741927{col 32}{space 2} .0617937{col 43}{space 1}   -4.44{col 52}{space 3}0.000{col 60}{space 4}-.3953062{col 73}{space 3}-.1530792
{txt}{space 7}log_trade_m {c |}{col 20}{res}{space 2} .0007609{col 32}{space 2} .0000762{col 43}{space 1}    9.99{col 52}{space 3}0.000{col 60}{space 4} .0006116{col 73}{space 3} .0009103
{txt}{space 5}log_gdppc_2_m {c |}{col 20}{res}{space 2}-.0738456{col 32}{space 2}  .038817{col 43}{space 1}   -1.90{col 52}{space 3}0.057{col 60}{space 4}-.1499256{col 73}{space 3} .0022344
{txt}{space 7}ln_cinc_2_m {c |}{col 20}{res}{space 2} .2029943{col 32}{space 2} .0297673{col 43}{space 1}    6.82{col 52}{space 3}0.000{col 60}{space 4} .1446515{col 73}{space 3} .2613371
{txt}{space 5}democracy_2_m {c |}{col 20}{res}{space 2}-.0813573{col 32}{space 2} .0364012{col 43}{space 1}   -2.24{col 52}{space 3}0.025{col 60}{space 4}-.1527024{col 73}{space 3}-.0100123
{txt}{space 16}t2 {c |}{col 20}{res}{space 2} .4366825{col 32}{space 2} .1375812{col 43}{space 1}    3.17{col 52}{space 3}0.002{col 60}{space 4} .1670284{col 73}{space 3} .7063366
{txt}{space 16}t3 {c |}{col 20}{res}{space 2} .6090299{col 32}{space 2} .1354694{col 43}{space 1}    4.50{col 52}{space 3}0.000{col 60}{space 4} .3435147{col 73}{space 3} .8745451
{txt}{space 16}t4 {c |}{col 20}{res}{space 2} .3316104{col 32}{space 2} .1373327{col 43}{space 1}    2.41{col 52}{space 3}0.016{col 60}{space 4} .0624432{col 73}{space 3} .6007776
{txt}{space 16}t5 {c |}{col 20}{res}{space 2} .4689693{col 32}{space 2} .1392245{col 43}{space 1}    3.37{col 52}{space 3}0.001{col 60}{space 4} .1960942{col 73}{space 3} .7418443
{txt}{space 16}t6 {c |}{col 20}{res}{space 2} .5480189{col 32}{space 2} .1413186{col 43}{space 1}    3.88{col 52}{space 3}0.000{col 60}{space 4} .2710396{col 73}{space 3} .8249982
{txt}{space 16}t7 {c |}{col 20}{res}{space 2} .7267598{col 32}{space 2}  .145761{col 43}{space 1}    4.99{col 52}{space 3}0.000{col 60}{space 4} .4410734{col 73}{space 3} 1.012446
{txt}{space 16}t8 {c |}{col 20}{res}{space 2} .9031709{col 32}{space 2}  .147659{col 43}{space 1}    6.12{col 52}{space 3}0.000{col 60}{space 4} .6137645{col 73}{space 3} 1.192577
{txt}{space 16}t9 {c |}{col 20}{res}{space 2} .5611021{col 32}{space 2} .1485228{col 43}{space 1}    3.78{col 52}{space 3}0.000{col 60}{space 4} .2700028{col 73}{space 3} .8522014
{txt}{space 15}t10 {c |}{col 20}{res}{space 2} .5221015{col 32}{space 2}  .149811{col 43}{space 1}    3.49{col 52}{space 3}0.000{col 60}{space 4} .2284772{col 73}{space 3} .8157257
{txt}{space 15}t11 {c |}{col 20}{res}{space 2} .4875007{col 32}{space 2} .1559674{col 43}{space 1}    3.13{col 52}{space 3}0.002{col 60}{space 4} .1818102{col 73}{space 3} .7931913
{txt}{space 15}t12 {c |}{col 20}{res}{space 2} .6147155{col 32}{space 2} .1533023{col 43}{space 1}    4.01{col 52}{space 3}0.000{col 60}{space 4} .3142486{col 73}{space 3} .9151824
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 3.323407{col 32}{space 2} .3595675{col 43}{space 1}    9.24{col 52}{space 3}0.000{col 60}{space 4} 2.618668{col 73}{space 3} 4.028147
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Random effects model
. xtnbreg dr_1_at_2_m malaria_interp_2_m cid_per_trop_2_m log_trade_m log_gdppc_2_m ln_cinc_2_m democracy_2_m log_distance_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12, i(cowcode_2) 

{txt}Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-6379.6734}  
Iteration 1:{space 3}log likelihood = {res:-6379.1412}  
Iteration 2:{space 3}log likelihood = {res:-6379.1412}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-10028.129}  
Iteration 1:{space 3}log likelihood = {res:-7219.8801}  
Iteration 2:{space 3}log likelihood = {res:-5762.7109}  
Iteration 3:{space 3}log likelihood = {res:-5745.3034}  
Iteration 4:{space 3}log likelihood = {res:-5745.2013}  
Iteration 5:{space 3}log likelihood = {res:-5745.2013}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-5745.2013}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-5407.5145}  
Iteration 2:{space 3}log likelihood = {res:-4974.0413}  
Iteration 3:{space 3}log likelihood = {res:-4948.8564}  
Iteration 4:{space 3}log likelihood = {res:-4948.2224}  
Iteration 5:{space 3}log likelihood = {res:-4948.2219}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-5139.7684}  
Iteration 1:{space 3}log likelihood = {res:-4944.4712}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-4876.7078}  
Iteration 3:{space 3}log likelihood = {res:-4874.7201}  
Iteration 4:{space 3}log likelihood = {res:-4851.7492}  
Iteration 5:{space 3}log likelihood = {res:-4848.4669}  
Iteration 6:{space 3}log likelihood = {res:-4848.4448}  
Iteration 7:{space 3}log likelihood = {res:-4848.4448}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}     1,224
{txt}Group variable: {res}cowcode_2{col 49}{txt}Number of groups{col 67}={col 69}{res}       153

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       8.0
{txt}{col 63}max{col 67}={col 69}{res}        12

{txt}{col 49}Wald chi2({res}18{txt}){col 67}={col 70}{res}  2353.70
{txt}Log likelihood  = {res}-4848.4448{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       dr_1_at_2_m{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
malaria_interp_2_m {c |}{col 20}{res}{space 2}-.2738234{col 32}{space 2}   .05526{col 43}{space 1}   -4.96{col 52}{space 3}0.000{col 60}{space 4}-.3821311{col 73}{space 3}-.1655158
{txt}{space 2}cid_per_trop_2_m {c |}{col 20}{res}{space 2} .2862445{col 32}{space 2} .0640289{col 43}{space 1}    4.47{col 52}{space 3}0.000{col 60}{space 4} .1607501{col 73}{space 3} .4117389
{txt}{space 7}log_trade_m {c |}{col 20}{res}{space 2} .0008006{col 32}{space 2} .0000643{col 43}{space 1}   12.46{col 52}{space 3}0.000{col 60}{space 4} .0006746{col 73}{space 3} .0009266
{txt}{space 5}log_gdppc_2_m {c |}{col 20}{res}{space 2}-.0082028{col 32}{space 2}  .027873{col 43}{space 1}   -0.29{col 52}{space 3}0.769{col 60}{space 4}-.0628329{col 73}{space 3} .0464273
{txt}{space 7}ln_cinc_2_m {c |}{col 20}{res}{space 2} .1925103{col 32}{space 2} .0164303{col 43}{space 1}   11.72{col 52}{space 3}0.000{col 60}{space 4} .1603076{col 73}{space 3}  .224713
{txt}{space 5}democracy_2_m {c |}{col 20}{res}{space 2}-.0724431{col 32}{space 2} .0325804{col 43}{space 1}   -2.22{col 52}{space 3}0.026{col 60}{space 4}-.1362996{col 73}{space 3}-.0085866
{txt}{space 4}log_distance_m {c |}{col 20}{res}{space 2}-.2558339{col 32}{space 2} .0700057{col 43}{space 1}   -3.65{col 52}{space 3}0.000{col 60}{space 4}-.3930425{col 73}{space 3}-.1186253
{txt}{space 16}t2 {c |}{col 20}{res}{space 2} .3872518{col 32}{space 2} .1379927{col 43}{space 1}    2.81{col 52}{space 3}0.005{col 60}{space 4}  .116791{col 73}{space 3} .6577126
{txt}{space 16}t3 {c |}{col 20}{res}{space 2} .5439055{col 32}{space 2} .1356421{col 43}{space 1}    4.01{col 52}{space 3}0.000{col 60}{space 4} .2780519{col 73}{space 3} .8097592
{txt}{space 16}t4 {c |}{col 20}{res}{space 2} .2254217{col 32}{space 2} .1373159{col 43}{space 1}    1.64{col 52}{space 3}0.101{col 60}{space 4}-.0437125{col 73}{space 3} .4945559
{txt}{space 16}t5 {c |}{col 20}{res}{space 2}   .37945{col 32}{space 2} .1376303{col 43}{space 1}    2.76{col 52}{space 3}0.006{col 60}{space 4} .1096996{col 73}{space 3} .6492003
{txt}{space 16}t6 {c |}{col 20}{res}{space 2} .4399586{col 32}{space 2} .1392387{col 43}{space 1}    3.16{col 52}{space 3}0.002{col 60}{space 4} .1670558{col 73}{space 3} .7128613
{txt}{space 16}t7 {c |}{col 20}{res}{space 2} .6100411{col 32}{space 2} .1416411{col 43}{space 1}    4.31{col 52}{space 3}0.000{col 60}{space 4} .3324296{col 73}{space 3} .8876526
{txt}{space 16}t8 {c |}{col 20}{res}{space 2} .7854758{col 32}{space 2} .1421131{col 43}{space 1}    5.53{col 52}{space 3}0.000{col 60}{space 4} .5069393{col 73}{space 3} 1.064012
{txt}{space 16}t9 {c |}{col 20}{res}{space 2} .4416038{col 32}{space 2} .1433105{col 43}{space 1}    3.08{col 52}{space 3}0.002{col 60}{space 4} .1607205{col 73}{space 3} .7224871
{txt}{space 15}t10 {c |}{col 20}{res}{space 2} .3951743{col 32}{space 2} .1437825{col 43}{space 1}    2.75{col 52}{space 3}0.006{col 60}{space 4} .1133659{col 73}{space 3} .6769828
{txt}{space 15}t11 {c |}{col 20}{res}{space 2} .3214896{col 32}{space 2} .1480255{col 43}{space 1}    2.17{col 52}{space 3}0.030{col 60}{space 4} .0313649{col 73}{space 3} .6116143
{txt}{space 15}t12 {c |}{col 20}{res}{space 2} .4481875{col 32}{space 2} .1456455{col 43}{space 1}    3.08{col 52}{space 3}0.002{col 60}{space 4} .1627276{col 73}{space 3} .7336474
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 4.709584{col 32}{space 2} .6324597{col 43}{space 1}    7.45{col 52}{space 3}0.000{col 60}{space 4} 3.469985{col 73}{space 3} 5.949182
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             /ln_r {c |}{col 20}{res}{space 2}  3.17853{col 32}{space 2} .1660311{col 60}{space 4} 2.853115{col 73}{space 3} 3.503945
{txt}             /ln_s {c |}{col 20}{res}{space 2} 4.141251{col 32}{space 2} .1889978{col 60}{space 4} 3.770822{col 73}{space 3}  4.51168
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 r {c |}{col 20}{res}{space 2} 24.01144{col 32}{space 2} 3.986646{col 60}{space 4} 17.34172{col 73}{space 3} 33.24636
{txt}                 s {c |}{col 20}{res}{space 2} 62.88145{col 32}{space 2} 11.88446{col 60}{space 4} 43.41575{col 73}{space 3} 91.07471
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}199.55{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. 
. 
. *************************************************************************************************
. **Table A.9: Determinants of Monadic Diplomatic Representation, Non-Lagged Independent Variable**
. *************************************************************************************************
. 
. *Pooled model
. nbreg dr_1_at_2_m malaria_interp_2_m Lcid_per_trop_2_m Llog_trade_m  Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Llog_distance_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12
{txt}note: t12 omitted because of collinearity

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4868.6462}  
Iteration 1:{space 3}log likelihood = {res:-4868.5226}  
Iteration 2:{space 3}log likelihood = {res:-4868.5226}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-5193.1925}  
Iteration 1:{space 3}log likelihood = {res:-5023.6054}  
Iteration 2:{space 3}log likelihood = {res:-4998.2503}  
Iteration 3:{space 3}log likelihood = {res: -4998.226}  
Iteration 4:{space 3}log likelihood = {res: -4998.226}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4619.1065}  
Iteration 1:{space 3}log likelihood = {res:-4389.7331}  
Iteration 2:{space 3}log likelihood = {res:-4247.0998}  
Iteration 3:{space 3}log likelihood = {res:-4231.4259}  
Iteration 4:{space 3}log likelihood = {res:-4231.2744}  
Iteration 5:{space 3}log likelihood = {res:-4231.2744}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,072
{txt}{col 49}LR chi2({res}17{txt}){col 67}= {res}   1533.90
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4231.2744{txt}{col 49}Pseudo R2{col 67}= {res}    0.1534

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       dr_1_at_2_m{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
malaria_interp_2_m {c |}{col 20}{res}{space 2} -.188085{col 32}{space 2} .0398249{col 43}{space 1}   -4.72{col 52}{space 3}0.000{col 60}{space 4}-.2661404{col 73}{space 3}-.1100296
{txt}{space 1}Lcid_per_trop_2_m {c |}{col 20}{res}{space 2} .2312184{col 32}{space 2} .0349772{col 43}{space 1}    6.61{col 52}{space 3}0.000{col 60}{space 4} .1626644{col 73}{space 3} .2997724
{txt}{space 6}Llog_trade_m {c |}{col 20}{res}{space 2}  .000886{col 32}{space 2} .0000575{col 43}{space 1}   15.42{col 52}{space 3}0.000{col 60}{space 4} .0007734{col 73}{space 3} .0009986
{txt}{space 4}Llog_gdppc_2_m {c |}{col 20}{res}{space 2} .0419369{col 32}{space 2} .0172386{col 43}{space 1}    2.43{col 52}{space 3}0.015{col 60}{space 4} .0081498{col 73}{space 3} .0757239
{txt}{space 6}Lln_cinc_2_m {c |}{col 20}{res}{space 2} .1429063{col 32}{space 2} .0100443{col 43}{space 1}   14.23{col 52}{space 3}0.000{col 60}{space 4} .1232197{col 73}{space 3} .1625928
{txt}{space 4}Ldemocracy_2_m {c |}{col 20}{res}{space 2}-.0935985{col 32}{space 2} .0254321{col 43}{space 1}   -3.68{col 52}{space 3}0.000{col 60}{space 4}-.1434446{col 73}{space 3}-.0437525
{txt}{space 3}Llog_distance_m {c |}{col 20}{res}{space 2}-.2977675{col 32}{space 2} .0351779{col 43}{space 1}   -8.46{col 52}{space 3}0.000{col 60}{space 4}-.3667149{col 73}{space 3}-.2288201
{txt}{space 16}t2 {c |}{col 20}{res}{space 2} .2968585{col 32}{space 2} .1105101{col 43}{space 1}    2.69{col 52}{space 3}0.007{col 60}{space 4} .0802628{col 73}{space 3} .5134543
{txt}{space 16}t3 {c |}{col 20}{res}{space 2} .4254714{col 32}{space 2} .0683792{col 43}{space 1}    6.22{col 52}{space 3}0.000{col 60}{space 4} .2914506{col 73}{space 3} .5594921
{txt}{space 16}t4 {c |}{col 20}{res}{space 2} .4589009{col 32}{space 2} .0636328{col 43}{space 1}    7.21{col 52}{space 3}0.000{col 60}{space 4}  .334183{col 73}{space 3} .5836188
{txt}{space 16}t5 {c |}{col 20}{res}{space 2}  .388578{col 32}{space 2} .0534274{col 43}{space 1}    7.27{col 52}{space 3}0.000{col 60}{space 4} .2838622{col 73}{space 3} .4932939
{txt}{space 16}t6 {c |}{col 20}{res}{space 2} .2989674{col 32}{space 2} .0458207{col 43}{space 1}    6.52{col 52}{space 3}0.000{col 60}{space 4} .2091605{col 73}{space 3} .3887743
{txt}{space 16}t7 {c |}{col 20}{res}{space 2} .5398402{col 32}{space 2} .0415391{col 43}{space 1}   13.00{col 52}{space 3}0.000{col 60}{space 4} .4584251{col 73}{space 3} .6212553
{txt}{space 16}t8 {c |}{col 20}{res}{space 2} .5966217{col 32}{space 2} .0386668{col 43}{space 1}   15.43{col 52}{space 3}0.000{col 60}{space 4} .5208362{col 73}{space 3} .6724072
{txt}{space 16}t9 {c |}{col 20}{res}{space 2} .1433338{col 32}{space 2} .0386562{col 43}{space 1}    3.71{col 52}{space 3}0.000{col 60}{space 4} .0675691{col 73}{space 3} .2190985
{txt}{space 15}t10 {c |}{col 20}{res}{space 2} .1473878{col 32}{space 2} .0383039{col 43}{space 1}    3.85{col 52}{space 3}0.000{col 60}{space 4} .0723136{col 73}{space 3}  .222462
{txt}{space 15}t11 {c |}{col 20}{res}{space 2} .1580176{col 32}{space 2} .0370902{col 43}{space 1}    4.26{col 52}{space 3}0.000{col 60}{space 4} .0853222{col 73}{space 3}  .230713
{txt}{space 15}t12 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 13}_cons {c |}{col 20}{res}{space 2} 5.533502{col 32}{space 2} .3210536{col 43}{space 1}   17.24{col 52}{space 3}0.000{col 60}{space 4} 4.904248{col 73}{space 3} 6.162756
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          /lnalpha {c |}{col 20}{res}{space 2}-2.691694{col 32}{space 2} .0653051{col 60}{space 4}-2.819689{col 73}{space 3}-2.563698
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             alpha {c |}{col 20}{res}{space 2} .0677661{col 32}{space 2} .0044255{col 60}{space 4} .0596245{col 73}{space 3} .0770194
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}1274.50{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. 
. *Pooled (clustered se's) model
. nbreg dr_1_at_2_m malaria_interp_2_m Lcid_per_trop_2_m Llog_trade_m  Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Llog_distance_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12, cluster(cowcode_2)
{txt}note: t12 omitted because of collinearity

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4868.6462}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4868.5226}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4868.5226}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5193.1925}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5023.6054}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4998.2503}  
Iteration 3:{space 3}log pseudolikelihood = {res: -4998.226}  
Iteration 4:{space 3}log pseudolikelihood = {res: -4998.226}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4619.1065}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4389.7331}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4247.0998}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4231.4259}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4231.2744}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4231.2744}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,072
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   1303.99
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-4231.2744{txt}{col 49}Pseudo R2{col 67}= {res}    0.1534

{txt}{ralign 84:(Std. Err. adjusted for {res:153} clusters in cowcode_2)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}       dr_1_at_2_m{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
malaria_interp_2_m {c |}{col 20}{res}{space 2} -.188085{col 32}{space 2} .0713306{col 43}{space 1}   -2.64{col 52}{space 3}0.008{col 60}{space 4}-.3278905{col 73}{space 3}-.0482795
{txt}{space 1}Lcid_per_trop_2_m {c |}{col 20}{res}{space 2} .2312184{col 32}{space 2} .0770937{col 43}{space 1}    3.00{col 52}{space 3}0.003{col 60}{space 4} .0801175{col 73}{space 3} .3823194
{txt}{space 6}Llog_trade_m {c |}{col 20}{res}{space 2}  .000886{col 32}{space 2} .0000958{col 43}{space 1}    9.24{col 52}{space 3}0.000{col 60}{space 4} .0006981{col 73}{space 3} .0010739
{txt}{space 4}Llog_gdppc_2_m {c |}{col 20}{res}{space 2} .0419369{col 32}{space 2} .0287023{col 43}{space 1}    1.46{col 52}{space 3}0.144{col 60}{space 4}-.0143186{col 73}{space 3} .0981924
{txt}{space 6}Lln_cinc_2_m {c |}{col 20}{res}{space 2} .1429063{col 32}{space 2} .0172915{col 43}{space 1}    8.26{col 52}{space 3}0.000{col 60}{space 4} .1090155{col 73}{space 3}  .176797
{txt}{space 4}Ldemocracy_2_m {c |}{col 20}{res}{space 2}-.0935985{col 32}{space 2} .0366661{col 43}{space 1}   -2.55{col 52}{space 3}0.011{col 60}{space 4}-.1654628{col 73}{space 3}-.0217343
{txt}{space 3}Llog_distance_m {c |}{col 20}{res}{space 2}-.2977675{col 32}{space 2} .0715715{col 43}{space 1}   -4.16{col 52}{space 3}0.000{col 60}{space 4} -.438045{col 73}{space 3}  -.15749
{txt}{space 16}t2 {c |}{col 20}{res}{space 2} .2968585{col 32}{space 2} .1201428{col 43}{space 1}    2.47{col 52}{space 3}0.013{col 60}{space 4}  .061383{col 73}{space 3} .5323341
{txt}{space 16}t3 {c |}{col 20}{res}{space 2} .4254714{col 32}{space 2} .0854629{col 43}{space 1}    4.98{col 52}{space 3}0.000{col 60}{space 4} .2579672{col 73}{space 3} .5929755
{txt}{space 16}t4 {c |}{col 20}{res}{space 2} .4589009{col 32}{space 2} .0767809{col 43}{space 1}    5.98{col 52}{space 3}0.000{col 60}{space 4}  .308413{col 73}{space 3} .6093887
{txt}{space 16}t5 {c |}{col 20}{res}{space 2}  .388578{col 32}{space 2} .0661698{col 43}{space 1}    5.87{col 52}{space 3}0.000{col 60}{space 4} .2588876{col 73}{space 3} .5182685
{txt}{space 16}t6 {c |}{col 20}{res}{space 2} .2989674{col 32}{space 2} .0574541{col 43}{space 1}    5.20{col 52}{space 3}0.000{col 60}{space 4} .1863595{col 73}{space 3} .4115753
{txt}{space 16}t7 {c |}{col 20}{res}{space 2} .5398402{col 32}{space 2} .0484401{col 43}{space 1}   11.14{col 52}{space 3}0.000{col 60}{space 4} .4448993{col 73}{space 3} .6347811
{txt}{space 16}t8 {c |}{col 20}{res}{space 2} .5966217{col 32}{space 2} .0425482{col 43}{space 1}   14.02{col 52}{space 3}0.000{col 60}{space 4} .5132287{col 73}{space 3} .6800147
{txt}{space 16}t9 {c |}{col 20}{res}{space 2} .1433338{col 32}{space 2} .0260999{col 43}{space 1}    5.49{col 52}{space 3}0.000{col 60}{space 4}  .092179{col 73}{space 3} .1944886
{txt}{space 15}t10 {c |}{col 20}{res}{space 2} .1473878{col 32}{space 2}  .024332{col 43}{space 1}    6.06{col 52}{space 3}0.000{col 60}{space 4}  .099698{col 73}{space 3} .1950776
{txt}{space 15}t11 {c |}{col 20}{res}{space 2} .1580176{col 32}{space 2} .0207986{col 43}{space 1}    7.60{col 52}{space 3}0.000{col 60}{space 4} .1172531{col 73}{space 3} .1987821
{txt}{space 15}t12 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 13}_cons {c |}{col 20}{res}{space 2} 5.533502{col 32}{space 2} .6046005{col 43}{space 1}    9.15{col 52}{space 3}0.000{col 60}{space 4} 4.348507{col 73}{space 3} 6.718497
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          /lnalpha {c |}{col 20}{res}{space 2}-2.691694{col 32}{space 2} .1522875{col 60}{space 4}-2.990172{col 73}{space 3}-2.393216
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             alpha {c |}{col 20}{res}{space 2} .0677661{col 32}{space 2} .0103199{col 60}{space 4} .0502788{col 73}{space 3} .0913355
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Fixed effects model
. xtnbreg dr_1_at_2_m malaria_interp_2_m Llog_trade_m Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12, fe
{txt}note: 19 groups (19 obs) dropped because of only one obs per group
note: t12 omitted because of collinearity
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3279.7923}  
Iteration 1:{space 3}log likelihood = {res: -3272.097}  
Iteration 2:{space 3}log likelihood = {res:-3272.0817}  
Iteration 3:{space 3}log likelihood = {res:-3272.0817}  
{res}
{txt}Conditional FE negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}     1,066
{txt}Group variable: {res}cowcode_2{col 49}{txt}Number of groups{col 67}={col 69}{res}       136

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         2
{txt}{col 63}avg{col 67}={col 69}{res}       7.8
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}15{txt}){col 67}={col 70}{res}  1421.11
{txt}Log likelihood  = {res}-3272.0817{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       dr_1_at_2_m{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
malaria_interp_2_m {c |}{col 20}{res}{space 2}-.1758364{col 32}{space 2} .0507521{col 43}{space 1}   -3.46{col 52}{space 3}0.001{col 60}{space 4}-.2753085{col 73}{space 3}-.0763642
{txt}{space 6}Llog_trade_m {c |}{col 20}{res}{space 2} .0008636{col 32}{space 2} .0000818{col 43}{space 1}   10.56{col 52}{space 3}0.000{col 60}{space 4} .0007033{col 73}{space 3}  .001024
{txt}{space 4}Llog_gdppc_2_m {c |}{col 20}{res}{space 2}-.0401434{col 32}{space 2}  .035303{col 43}{space 1}   -1.14{col 52}{space 3}0.255{col 60}{space 4}-.1093361{col 73}{space 3} .0290492
{txt}{space 6}Lln_cinc_2_m {c |}{col 20}{res}{space 2} .0643664{col 32}{space 2} .0300665{col 43}{space 1}    2.14{col 52}{space 3}0.032{col 60}{space 4} .0054372{col 73}{space 3} .1232956
{txt}{space 4}Ldemocracy_2_m {c |}{col 20}{res}{space 2}-.0478059{col 32}{space 2} .0303462{col 43}{space 1}   -1.58{col 52}{space 3}0.115{col 60}{space 4}-.1072833{col 73}{space 3} .0116715
{txt}{space 16}t2 {c |}{col 20}{res}{space 2} .2463347{col 32}{space 2} .1185713{col 43}{space 1}    2.08{col 52}{space 3}0.038{col 60}{space 4} .0139393{col 73}{space 3} .4787301
{txt}{space 16}t3 {c |}{col 20}{res}{space 2} .3057875{col 32}{space 2} .0874986{col 43}{space 1}    3.49{col 52}{space 3}0.000{col 60}{space 4} .1342935{col 73}{space 3} .4772816
{txt}{space 16}t4 {c |}{col 20}{res}{space 2}   .32624{col 32}{space 2}  .080983{col 43}{space 1}    4.03{col 52}{space 3}0.000{col 60}{space 4} .1675162{col 73}{space 3} .4849638
{txt}{space 16}t5 {c |}{col 20}{res}{space 2} .2851632{col 32}{space 2} .0681468{col 43}{space 1}    4.18{col 52}{space 3}0.000{col 60}{space 4} .1515979{col 73}{space 3} .4187285
{txt}{space 16}t6 {c |}{col 20}{res}{space 2} .2181302{col 32}{space 2} .0557602{col 43}{space 1}    3.91{col 52}{space 3}0.000{col 60}{space 4} .1088422{col 73}{space 3} .3274183
{txt}{space 16}t7 {c |}{col 20}{res}{space 2} .4541915{col 32}{space 2} .0443894{col 43}{space 1}   10.23{col 52}{space 3}0.000{col 60}{space 4} .3671898{col 73}{space 3} .5411931
{txt}{space 16}t8 {c |}{col 20}{res}{space 2} .4839664{col 32}{space 2}  .032955{col 43}{space 1}   14.69{col 52}{space 3}0.000{col 60}{space 4} .4193759{col 73}{space 3} .5485569
{txt}{space 16}t9 {c |}{col 20}{res}{space 2} .1020919{col 32}{space 2} .0339983{col 43}{space 1}    3.00{col 52}{space 3}0.003{col 60}{space 4} .0354564{col 73}{space 3} .1687275
{txt}{space 15}t10 {c |}{col 20}{res}{space 2} .1035465{col 32}{space 2} .0331361{col 43}{space 1}    3.12{col 52}{space 3}0.002{col 60}{space 4} .0386008{col 73}{space 3} .1684921
{txt}{space 15}t11 {c |}{col 20}{res}{space 2} .1208946{col 32}{space 2} .0294701{col 43}{space 1}    4.10{col 52}{space 3}0.000{col 60}{space 4} .0631343{col 73}{space 3} .1786549
{txt}{space 15}t12 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 13}_cons {c |}{col 20}{res}{space 2} 3.295883{col 32}{space 2} .3341882{col 43}{space 1}    9.86{col 52}{space 3}0.000{col 60}{space 4} 2.640886{col 73}{space 3} 3.950879
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Random effects model
. xtnbreg dr_1_at_2_m malaria_interp_2_m Lcid_per_trop_2_m Llog_trade_m Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Llog_distance_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12, i(cowcode_2) 
{txt}note: t12 omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4868.6462}  
Iteration 1:{space 3}log likelihood = {res:-4868.5226}  
Iteration 2:{space 3}log likelihood = {res:-4868.5226}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-8040.7755}  
Iteration 1:{space 3}log likelihood = {res:-6033.6555}  
Iteration 2:{space 3}log likelihood = {res:-5807.0194}  
Iteration 3:{space 3}log likelihood = {res:-5001.0743}  
Iteration 4:{space 3}log likelihood = {res:-4998.2286}  
Iteration 5:{space 3}log likelihood = {res: -4998.226}  
Iteration 6:{space 3}log likelihood = {res: -4998.226}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -4998.226}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-4696.9296}  
Iteration 2:{space 3}log likelihood = {res:-4211.5642}  
Iteration 3:{space 3}log likelihood = {res:-4184.8688}  
Iteration 4:{space 3}log likelihood = {res:-4183.7076}  
Iteration 5:{space 3}log likelihood = {res:-4183.7067}  
Iteration 6:{space 3}log likelihood = {res:-4183.7067}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4255.0461}  
Iteration 1:{space 3}log likelihood = {res:-4089.3299}  
Iteration 2:{space 3}log likelihood = {res: -4079.346}  
Iteration 3:{space 3}log likelihood = {res:-4056.0384}  
Iteration 4:{space 3}log likelihood = {res:-4047.8604}  
Iteration 5:{space 3}log likelihood = {res:-4047.5696}  
Iteration 6:{space 3}log likelihood = {res: -4047.569}  
Iteration 7:{space 3}log likelihood = {res: -4047.569}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}     1,072
{txt}Group variable: {res}cowcode_2{col 49}{txt}Number of groups{col 67}={col 69}{res}       153

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       7.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}17{txt}){col 67}={col 70}{res}  2322.00
{txt}Log likelihood  = {res} -4047.569{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       dr_1_at_2_m{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
malaria_interp_2_m {c |}{col 20}{res}{space 2}-.1978863{col 32}{space 2} .0450736{col 43}{space 1}   -4.39{col 52}{space 3}0.000{col 60}{space 4}-.2862289{col 73}{space 3}-.1095436
{txt}{space 1}Lcid_per_trop_2_m {c |}{col 20}{res}{space 2} .2956605{col 32}{space 2} .0570562{col 43}{space 1}    5.18{col 52}{space 3}0.000{col 60}{space 4} .1838324{col 73}{space 3} .4074886
{txt}{space 6}Llog_trade_m {c |}{col 20}{res}{space 2} .0009278{col 32}{space 2} .0000611{col 43}{space 1}   15.18{col 52}{space 3}0.000{col 60}{space 4}  .000808{col 73}{space 3} .0010476
{txt}{space 4}Llog_gdppc_2_m {c |}{col 20}{res}{space 2} .0144151{col 32}{space 2} .0240517{col 43}{space 1}    0.60{col 52}{space 3}0.549{col 60}{space 4}-.0327253{col 73}{space 3} .0615555
{txt}{space 6}Lln_cinc_2_m {c |}{col 20}{res}{space 2} .1541492{col 32}{space 2} .0139056{col 43}{space 1}   11.09{col 52}{space 3}0.000{col 60}{space 4} .1268946{col 73}{space 3} .1814037
{txt}{space 4}Ldemocracy_2_m {c |}{col 20}{res}{space 2}-.0573554{col 32}{space 2} .0272874{col 43}{space 1}   -2.10{col 52}{space 3}0.036{col 60}{space 4}-.1108378{col 73}{space 3}-.0038731
{txt}{space 3}Llog_distance_m {c |}{col 20}{res}{space 2}-.3785208{col 32}{space 2} .0594091{col 43}{space 1}   -6.37{col 52}{space 3}0.000{col 60}{space 4}-.4949605{col 73}{space 3}-.2620811
{txt}{space 16}t2 {c |}{col 20}{res}{space 2} .3605903{col 32}{space 2} .1018015{col 43}{space 1}    3.54{col 52}{space 3}0.000{col 60}{space 4} .1610629{col 73}{space 3} .5601176
{txt}{space 16}t3 {c |}{col 20}{res}{space 2} .4193407{col 32}{space 2} .0684677{col 43}{space 1}    6.12{col 52}{space 3}0.000{col 60}{space 4} .2851465{col 73}{space 3}  .553535
{txt}{space 16}t4 {c |}{col 20}{res}{space 2} .4339821{col 32}{space 2} .0632586{col 43}{space 1}    6.86{col 52}{space 3}0.000{col 60}{space 4} .3099976{col 73}{space 3} .5579666
{txt}{space 16}t5 {c |}{col 20}{res}{space 2} .3729337{col 32}{space 2} .0525493{col 43}{space 1}    7.10{col 52}{space 3}0.000{col 60}{space 4}  .269939{col 73}{space 3} .4759283
{txt}{space 16}t6 {c |}{col 20}{res}{space 2} .2992728{col 32}{space 2} .0427714{col 43}{space 1}    7.00{col 52}{space 3}0.000{col 60}{space 4} .2154423{col 73}{space 3} .3831032
{txt}{space 16}t7 {c |}{col 20}{res}{space 2} .5206933{col 32}{space 2} .0360626{col 43}{space 1}   14.44{col 52}{space 3}0.000{col 60}{space 4} .4500118{col 73}{space 3} .5913748
{txt}{space 16}t8 {c |}{col 20}{res}{space 2} .5270445{col 32}{space 2}  .029344{col 43}{space 1}   17.96{col 52}{space 3}0.000{col 60}{space 4} .4695312{col 73}{space 3} .5845577
{txt}{space 16}t9 {c |}{col 20}{res}{space 2} .1542037{col 32}{space 2}  .030237{col 43}{space 1}    5.10{col 52}{space 3}0.000{col 60}{space 4} .0949402{col 73}{space 3} .2134672
{txt}{space 15}t10 {c |}{col 20}{res}{space 2} .1588026{col 32}{space 2} .0298055{col 43}{space 1}    5.33{col 52}{space 3}0.000{col 60}{space 4} .1003849{col 73}{space 3} .2172202
{txt}{space 15}t11 {c |}{col 20}{res}{space 2}  .167992{col 32}{space 2} .0274633{col 43}{space 1}    6.12{col 52}{space 3}0.000{col 60}{space 4}  .114165{col 73}{space 3}  .221819
{txt}{space 15}t12 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 13}_cons {c |}{col 20}{res}{space 2}   6.2545{col 32}{space 2} .5409653{col 43}{space 1}   11.56{col 52}{space 3}0.000{col 60}{space 4} 5.194227{col 73}{space 3} 7.314772
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             /ln_r {c |}{col 20}{res}{space 2} 3.730339{col 32}{space 2} .1591469{col 60}{space 4} 3.418417{col 73}{space 3} 4.042261
{txt}             /ln_s {c |}{col 20}{res}{space 2} 3.853811{col 32}{space 2} .1759537{col 60}{space 4} 3.508948{col 73}{space 3} 4.198674
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 r {c |}{col 20}{res}{space 2} 41.69324{col 32}{space 2} 6.635348{col 60}{space 4} 30.52106{col 73}{space 3} 56.95498
{txt}                 s {c |}{col 20}{res}{space 2} 47.17252{col 32}{space 2} 8.300181{col 60}{space 4} 33.41311{col 73}{space 3} 66.59799
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}272.28{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. 
. 
. ******************************************************************************************************************
. **Table A.11: Determinants of Monadic Diplomatic Representation, Omitting Non-Malarial Diplomatic Host Countries**
. ******************************************************************************************************************
. 
. *Pooled model
. nbreg dr_1_at_2_m Lmalaria_interp_2_m Lcid_per_trop_2_m Llog_trade_m  Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Llog_distance_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12 if Lmalaria_interp_2_m>0
{txt}note: t12 omitted because of collinearity

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3124.6655}  
Iteration 1:{space 3}log likelihood = {res:-3124.5793}  
Iteration 2:{space 3}log likelihood = {res:-3124.5793}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3303.1827}  
Iteration 1:{space 3}log likelihood = {res:-3167.4245}  
Iteration 2:{space 3}log likelihood = {res:-3144.7294}  
Iteration 3:{space 3}log likelihood = {res:-3144.7023}  
Iteration 4:{space 3}log likelihood = {res:-3144.7023}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2917.7217}  
Iteration 1:{space 3}log likelihood = {res:-2758.7231}  
Iteration 2:{space 3}log likelihood = {res:-2732.6202}  
Iteration 3:{space 3}log likelihood = {res:-2729.2744}  
Iteration 4:{space 3}log likelihood = {res:-2729.2654}  
Iteration 5:{space 3}log likelihood = {res:-2729.2654}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       707
{txt}{col 49}LR chi2({res}17{txt}){col 67}= {res}    830.87
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2729.2654{txt}{col 49}Pseudo R2{col 67}= {res}    0.1321

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        dr_1_at_2_m{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Lmalaria_interp_2_m {c |}{col 21}{res}{space 2}-.2068439{col 33}{space 2}   .04903{col 44}{space 1}   -4.22{col 53}{space 3}0.000{col 61}{space 4}-.3029409{col 74}{space 3}-.1107469
{txt}{space 2}Lcid_per_trop_2_m {c |}{col 21}{res}{space 2} .2541408{col 33}{space 2} .0444369{col 44}{space 1}    5.72{col 53}{space 3}0.000{col 61}{space 4} .1670461{col 74}{space 3} .3412355
{txt}{space 7}Llog_trade_m {c |}{col 21}{res}{space 2} .0009535{col 33}{space 2} .0000846{col 44}{space 1}   11.27{col 53}{space 3}0.000{col 61}{space 4} .0007877{col 74}{space 3} .0011192
{txt}{space 5}Llog_gdppc_2_m {c |}{col 21}{res}{space 2} .0577734{col 33}{space 2} .0204212{col 44}{space 1}    2.83{col 53}{space 3}0.005{col 61}{space 4} .0177485{col 74}{space 3} .0977982
{txt}{space 7}Lln_cinc_2_m {c |}{col 21}{res}{space 2} .1439438{col 33}{space 2} .0149704{col 44}{space 1}    9.62{col 53}{space 3}0.000{col 61}{space 4} .1146023{col 74}{space 3} .1732852
{txt}{space 5}Ldemocracy_2_m {c |}{col 21}{res}{space 2}-.0372449{col 33}{space 2} .0339614{col 44}{space 1}   -1.10{col 53}{space 3}0.273{col 61}{space 4}-.1038081{col 74}{space 3} .0293182
{txt}{space 4}Llog_distance_m {c |}{col 21}{res}{space 2}-.4125813{col 33}{space 2} .0515599{col 44}{space 1}   -8.00{col 53}{space 3}0.000{col 61}{space 4}-.5136368{col 74}{space 3}-.3115259
{txt}{space 17}t2 {c |}{col 21}{res}{space 2} .3245541{col 33}{space 2} .1526306{col 44}{space 1}    2.13{col 53}{space 3}0.033{col 61}{space 4} .0254036{col 74}{space 3} .6237046
{txt}{space 17}t3 {c |}{col 21}{res}{space 2} .4390476{col 33}{space 2} .0896443{col 44}{space 1}    4.90{col 53}{space 3}0.000{col 61}{space 4}  .263348{col 74}{space 3} .6147473
{txt}{space 17}t4 {c |}{col 21}{res}{space 2} .4601085{col 33}{space 2} .0823184{col 44}{space 1}    5.59{col 53}{space 3}0.000{col 61}{space 4} .2987675{col 74}{space 3} .6214496
{txt}{space 17}t5 {c |}{col 21}{res}{space 2} .3736644{col 33}{space 2} .0735588{col 44}{space 1}    5.08{col 53}{space 3}0.000{col 61}{space 4} .2294919{col 74}{space 3}  .517837
{txt}{space 17}t6 {c |}{col 21}{res}{space 2} .2217105{col 33}{space 2} .0633081{col 44}{space 1}    3.50{col 53}{space 3}0.000{col 61}{space 4} .0976289{col 74}{space 3} .3457921
{txt}{space 17}t7 {c |}{col 21}{res}{space 2} .5319016{col 33}{space 2} .0572411{col 44}{space 1}    9.29{col 53}{space 3}0.000{col 61}{space 4} .4197111{col 74}{space 3} .6440922
{txt}{space 17}t8 {c |}{col 21}{res}{space 2} .6031859{col 33}{space 2} .0532998{col 44}{space 1}   11.32{col 53}{space 3}0.000{col 61}{space 4} .4987202{col 74}{space 3} .7076516
{txt}{space 17}t9 {c |}{col 21}{res}{space 2} .1472261{col 33}{space 2}  .052822{col 44}{space 1}    2.79{col 53}{space 3}0.005{col 61}{space 4} .0436969{col 74}{space 3} .2507552
{txt}{space 16}t10 {c |}{col 21}{res}{space 2} .1450702{col 33}{space 2} .0522019{col 44}{space 1}    2.78{col 53}{space 3}0.005{col 61}{space 4} .0427562{col 74}{space 3} .2473841
{txt}{space 16}t11 {c |}{col 21}{res}{space 2} .1146112{col 33}{space 2}  .052512{col 44}{space 1}    2.18{col 53}{space 3}0.029{col 61}{space 4} .0116895{col 74}{space 3} .2175328
{txt}{space 16}t12 {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (omitted)
{space 14}_cons {c |}{col 21}{res}{space 2} 6.305361{col 33}{space 2} .4622082{col 44}{space 1}   13.64{col 53}{space 3}0.000{col 61}{space 4} 5.399449{col 74}{space 3} 7.211272
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnalpha {c |}{col 21}{res}{space 2}-2.577325{col 33}{space 2} .0806617{col 61}{space 4}-2.735419{col 74}{space 3} -2.41923
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              alpha {c |}{col 21}{res}{space 2}  .075977{col 33}{space 2} .0061284{col 61}{space 4} .0648669{col 74}{space 3} .0889901
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}790.63{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. 
. *Pooled (clustered se's) model
. nbreg dr_1_at_2_m Lmalaria_interp_2_m Lcid_per_trop_2_m Llog_trade_m  Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Llog_distance_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12 if Lmalaria_interp_2_m>0, cluster(cowcode_2) 
{txt}note: t12 omitted because of collinearity

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3124.6655}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3124.5793}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3124.5793}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3303.1827}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3167.4245}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3144.7294}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3144.7023}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3144.7023}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2917.7217}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2758.7231}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2732.6202}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2729.2744}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2729.2654}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2729.2654}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       707
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}    623.75
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2729.2654{txt}{col 49}Pseudo R2{col 67}= {res}    0.1321

{txt}{ralign 85:(Std. Err. adjusted for {res:105} clusters in cowcode_2)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}        dr_1_at_2_m{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Lmalaria_interp_2_m {c |}{col 21}{res}{space 2}-.2068439{col 33}{space 2} .0695047{col 44}{space 1}   -2.98{col 53}{space 3}0.003{col 61}{space 4}-.3430705{col 74}{space 3}-.0706173
{txt}{space 2}Lcid_per_trop_2_m {c |}{col 21}{res}{space 2} .2541408{col 33}{space 2} .0769971{col 44}{space 1}    3.30{col 53}{space 3}0.001{col 61}{space 4} .1032292{col 74}{space 3} .4050525
{txt}{space 7}Llog_trade_m {c |}{col 21}{res}{space 2} .0009535{col 33}{space 2}  .000162{col 44}{space 1}    5.89{col 53}{space 3}0.000{col 61}{space 4}  .000636{col 74}{space 3}  .001271
{txt}{space 5}Llog_gdppc_2_m {c |}{col 21}{res}{space 2} .0577734{col 33}{space 2} .0326406{col 44}{space 1}    1.77{col 53}{space 3}0.077{col 61}{space 4} -.006201{col 74}{space 3} .1217478
{txt}{space 7}Lln_cinc_2_m {c |}{col 21}{res}{space 2} .1439438{col 33}{space 2} .0256941{col 44}{space 1}    5.60{col 53}{space 3}0.000{col 61}{space 4} .0935842{col 74}{space 3} .1943033
{txt}{space 5}Ldemocracy_2_m {c |}{col 21}{res}{space 2}-.0372449{col 33}{space 2} .0411193{col 44}{space 1}   -0.91{col 53}{space 3}0.365{col 61}{space 4}-.1178373{col 74}{space 3} .0433474
{txt}{space 4}Llog_distance_m {c |}{col 21}{res}{space 2}-.4125813{col 33}{space 2} .0937085{col 44}{space 1}   -4.40{col 53}{space 3}0.000{col 61}{space 4}-.5962466{col 74}{space 3}-.2289161
{txt}{space 17}t2 {c |}{col 21}{res}{space 2} .3245541{col 33}{space 2} .1729565{col 44}{space 1}    1.88{col 53}{space 3}0.061{col 61}{space 4}-.0144343{col 74}{space 3} .6635426
{txt}{space 17}t3 {c |}{col 21}{res}{space 2} .4390476{col 33}{space 2}  .130045{col 44}{space 1}    3.38{col 53}{space 3}0.001{col 61}{space 4} .1841641{col 74}{space 3} .6939311
{txt}{space 17}t4 {c |}{col 21}{res}{space 2} .4601085{col 33}{space 2} .1131599{col 44}{space 1}    4.07{col 53}{space 3}0.000{col 61}{space 4} .2383191{col 74}{space 3} .6818979
{txt}{space 17}t5 {c |}{col 21}{res}{space 2} .3736644{col 33}{space 2} .1013415{col 44}{space 1}    3.69{col 53}{space 3}0.000{col 61}{space 4} .1750386{col 74}{space 3} .5722902
{txt}{space 17}t6 {c |}{col 21}{res}{space 2} .2217105{col 33}{space 2} .0831617{col 44}{space 1}    2.67{col 53}{space 3}0.008{col 61}{space 4} .0587165{col 74}{space 3} .3847044
{txt}{space 17}t7 {c |}{col 21}{res}{space 2} .5319016{col 33}{space 2}   .07148{col 44}{space 1}    7.44{col 53}{space 3}0.000{col 61}{space 4} .3918034{col 74}{space 3} .6719999
{txt}{space 17}t8 {c |}{col 21}{res}{space 2} .6031859{col 33}{space 2} .0591255{col 44}{space 1}   10.20{col 53}{space 3}0.000{col 61}{space 4} .4873022{col 74}{space 3} .7190697
{txt}{space 17}t9 {c |}{col 21}{res}{space 2} .1472261{col 33}{space 2} .0350366{col 44}{space 1}    4.20{col 53}{space 3}0.000{col 61}{space 4} .0785556{col 74}{space 3} .2158965
{txt}{space 16}t10 {c |}{col 21}{res}{space 2} .1450702{col 33}{space 2} .0351268{col 44}{space 1}    4.13{col 53}{space 3}0.000{col 61}{space 4}  .076223{col 74}{space 3} .2139173
{txt}{space 16}t11 {c |}{col 21}{res}{space 2} .1146112{col 33}{space 2}  .022821{col 44}{space 1}    5.02{col 53}{space 3}0.000{col 61}{space 4} .0698827{col 74}{space 3} .1593396
{txt}{space 16}t12 {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (omitted)
{space 14}_cons {c |}{col 21}{res}{space 2} 6.305361{col 33}{space 2} .8544834{col 44}{space 1}    7.38{col 53}{space 3}0.000{col 61}{space 4} 4.630604{col 74}{space 3} 7.980118
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnalpha {c |}{col 21}{res}{space 2}-2.577325{col 33}{space 2} .1712474{col 61}{space 4}-2.912963{col 74}{space 3}-2.241686
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              alpha {c |}{col 21}{res}{space 2}  .075977{col 33}{space 2} .0130109{col 61}{space 4} .0543145{col 74}{space 3} .1062792
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Fixed effects model
. xtnbreg dr_1_at_2_m Lmalaria_interp_2_m Llog_trade_m Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12 if Lmalaria_interp_2_m>0, fe
{txt}note: 2 groups (2 obs) dropped because of only one obs per group
note: t12 omitted because of collinearity
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2090.5034}  
Iteration 1:{space 3}log likelihood = {res:-2077.5927}  
Iteration 2:{space 3}log likelihood = {res:-2077.3261}  
Iteration 3:{space 3}log likelihood = {res: -2077.326}  
{res}
{txt}Conditional FE negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       705
{txt}Group variable: {res}cowcode_2{col 49}{txt}Number of groups{col 67}={col 69}{res}       103

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         2
{txt}{col 63}avg{col 67}={col 69}{res}       6.8
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}15{txt}){col 67}={col 70}{res}   682.59
{txt}Log likelihood  = {res} -2077.326{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        dr_1_at_2_m{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Lmalaria_interp_2_m {c |}{col 21}{res}{space 2}-.0757087{col 33}{space 2} .0585224{col 44}{space 1}   -1.29{col 53}{space 3}0.196{col 61}{space 4}-.1904106{col 74}{space 3} .0389931
{txt}{space 7}Llog_trade_m {c |}{col 21}{res}{space 2} .0009941{col 33}{space 2} .0001159{col 44}{space 1}    8.58{col 53}{space 3}0.000{col 61}{space 4}  .000767{col 74}{space 3} .0012211
{txt}{space 5}Llog_gdppc_2_m {c |}{col 21}{res}{space 2} -.036956{col 33}{space 2} .0487846{col 44}{space 1}   -0.76{col 53}{space 3}0.449{col 61}{space 4}-.1325721{col 74}{space 3} .0586602
{txt}{space 7}Lln_cinc_2_m {c |}{col 21}{res}{space 2}-.0677115{col 33}{space 2} .0423734{col 44}{space 1}   -1.60{col 53}{space 3}0.110{col 61}{space 4}-.1507618{col 74}{space 3} .0153388
{txt}{space 5}Ldemocracy_2_m {c |}{col 21}{res}{space 2}-.0641125{col 33}{space 2} .0393298{col 44}{space 1}   -1.63{col 53}{space 3}0.103{col 61}{space 4}-.1411975{col 74}{space 3} .0129724
{txt}{space 17}t2 {c |}{col 21}{res}{space 2} .3454959{col 33}{space 2} .1637843{col 44}{space 1}    2.11{col 53}{space 3}0.035{col 61}{space 4} .0244845{col 74}{space 3} .6665073
{txt}{space 17}t3 {c |}{col 21}{res}{space 2} .2962043{col 33}{space 2} .1104783{col 44}{space 1}    2.68{col 53}{space 3}0.007{col 61}{space 4} .0796707{col 74}{space 3} .5127378
{txt}{space 17}t4 {c |}{col 21}{res}{space 2} .3290101{col 33}{space 2} .1004287{col 44}{space 1}    3.28{col 53}{space 3}0.001{col 61}{space 4} .1321734{col 74}{space 3} .5258467
{txt}{space 17}t5 {c |}{col 21}{res}{space 2} .2532087{col 33}{space 2}   .08954{col 44}{space 1}    2.83{col 53}{space 3}0.005{col 61}{space 4} .0777135{col 74}{space 3} .4287039
{txt}{space 17}t6 {c |}{col 21}{res}{space 2} .0799883{col 33}{space 2} .0743834{col 44}{space 1}    1.08{col 53}{space 3}0.282{col 61}{space 4}-.0658005{col 74}{space 3}  .225777
{txt}{space 17}t7 {c |}{col 21}{res}{space 2} .4163755{col 33}{space 2} .0585402{col 44}{space 1}    7.11{col 53}{space 3}0.000{col 61}{space 4} .3016387{col 74}{space 3} .5311122
{txt}{space 17}t8 {c |}{col 21}{res}{space 2} .4938835{col 33}{space 2} .0458487{col 44}{space 1}   10.77{col 53}{space 3}0.000{col 61}{space 4} .4040217{col 74}{space 3} .5837452
{txt}{space 17}t9 {c |}{col 21}{res}{space 2} .1156069{col 33}{space 2} .0464159{col 44}{space 1}    2.49{col 53}{space 3}0.013{col 61}{space 4} .0246335{col 74}{space 3} .2065804
{txt}{space 16}t10 {c |}{col 21}{res}{space 2} .1230067{col 33}{space 2} .0448204{col 44}{space 1}    2.74{col 53}{space 3}0.006{col 61}{space 4} .0351603{col 74}{space 3} .2108531
{txt}{space 16}t11 {c |}{col 21}{res}{space 2} .1133828{col 33}{space 2} .0416335{col 44}{space 1}    2.72{col 53}{space 3}0.006{col 61}{space 4} .0317826{col 74}{space 3}  .194983
{txt}{space 16}t12 {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (omitted)
{space 14}_cons {c |}{col 21}{res}{space 2} 2.163479{col 33}{space 2} .4360837{col 44}{space 1}    4.96{col 53}{space 3}0.000{col 61}{space 4} 1.308771{col 74}{space 3} 3.018187
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Random effects model
. xtnbreg dr_1_at_2_m Lmalaria_interp_2_m Lcid_per_trop_2_m Llog_trade_m Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Llog_distance_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12 if Lmalaria_interp_2_m>0, i(cowcode_2) 
{txt}note: t12 omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3124.6655}  
Iteration 1:{space 3}log likelihood = {res:-3124.5793}  
Iteration 2:{space 3}log likelihood = {res:-3124.5793}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4408.0314}  
Iteration 1:{space 3}log likelihood = {res:-3724.6815}  
Iteration 2:{space 3}log likelihood = {res:-3427.5893}  
Iteration 3:{space 3}log likelihood = {res:-3144.7125}  
Iteration 4:{space 3}log likelihood = {res:-3144.7023}  
Iteration 5:{space 3}log likelihood = {res:-3144.7023}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3144.7023}  (not concave)
Iteration 1:{space 3}log likelihood = {res: -2966.861}  
Iteration 2:{space 3}log likelihood = {res:-2717.2103}  
Iteration 3:{space 3}log likelihood = {res:-2702.0633}  
Iteration 4:{space 3}log likelihood = {res:-2701.6677}  
Iteration 5:{space 3}log likelihood = {res:-2701.6677}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2782.2947}  
Iteration 1:{space 3}log likelihood = {res:-2663.8165}  
Iteration 2:{space 3}log likelihood = {res:-2633.6867}  
Iteration 3:{space 3}log likelihood = {res:-2630.4003}  
Iteration 4:{space 3}log likelihood = {res:-2630.2914}  
Iteration 5:{space 3}log likelihood = {res:-2630.2913}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       707
{txt}Group variable: {res}cowcode_2{col 49}{txt}Number of groups{col 67}={col 69}{res}       105

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       6.7
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}17{txt}){col 67}={col 70}{res}  1214.87
{txt}Log likelihood  = {res}-2630.2913{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        dr_1_at_2_m{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Lmalaria_interp_2_m {c |}{col 21}{res}{space 2}-.1548243{col 33}{space 2} .0522104{col 44}{space 1}   -2.97{col 53}{space 3}0.003{col 61}{space 4}-.2571548{col 74}{space 3}-.0524938
{txt}{space 2}Lcid_per_trop_2_m {c |}{col 21}{res}{space 2} .2443061{col 33}{space 2} .0690097{col 44}{space 1}    3.54{col 53}{space 3}0.000{col 61}{space 4} .1090495{col 74}{space 3} .3795627
{txt}{space 7}Llog_trade_m {c |}{col 21}{res}{space 2} .0009824{col 33}{space 2}  .000087{col 44}{space 1}   11.29{col 53}{space 3}0.000{col 61}{space 4} .0008118{col 74}{space 3}  .001153
{txt}{space 5}Llog_gdppc_2_m {c |}{col 21}{res}{space 2} .0380994{col 33}{space 2} .0278579{col 44}{space 1}    1.37{col 53}{space 3}0.171{col 61}{space 4}-.0165011{col 74}{space 3}    .0927
{txt}{space 7}Lln_cinc_2_m {c |}{col 21}{res}{space 2} .1363694{col 33}{space 2} .0184653{col 44}{space 1}    7.39{col 53}{space 3}0.000{col 61}{space 4} .1001781{col 74}{space 3} .1725608
{txt}{space 5}Ldemocracy_2_m {c |}{col 21}{res}{space 2}-.0428778{col 33}{space 2} .0344284{col 44}{space 1}   -1.25{col 53}{space 3}0.213{col 61}{space 4}-.1103562{col 74}{space 3} .0246006
{txt}{space 4}Llog_distance_m {c |}{col 21}{res}{space 2}-.4808118{col 33}{space 2} .0701682{col 44}{space 1}   -6.85{col 53}{space 3}0.000{col 61}{space 4}-.6183388{col 74}{space 3}-.3432847
{txt}{space 17}t2 {c |}{col 21}{res}{space 2} .4477567{col 33}{space 2} .1345388{col 44}{space 1}    3.33{col 53}{space 3}0.001{col 61}{space 4} .1840655{col 74}{space 3}  .711448
{txt}{space 17}t3 {c |}{col 21}{res}{space 2} .4264699{col 33}{space 2} .0888877{col 44}{space 1}    4.80{col 53}{space 3}0.000{col 61}{space 4} .2522533{col 74}{space 3} .6006865
{txt}{space 17}t4 {c |}{col 21}{res}{space 2} .4390908{col 33}{space 2} .0809139{col 44}{space 1}    5.43{col 53}{space 3}0.000{col 61}{space 4} .2805025{col 74}{space 3} .5976791
{txt}{space 17}t5 {c |}{col 21}{res}{space 2} .3477326{col 33}{space 2} .0728177{col 44}{space 1}    4.78{col 53}{space 3}0.000{col 61}{space 4} .2050126{col 74}{space 3} .4904526
{txt}{space 17}t6 {c |}{col 21}{res}{space 2} .1992074{col 33}{space 2} .0595928{col 44}{space 1}    3.34{col 53}{space 3}0.001{col 61}{space 4} .0824076{col 74}{space 3} .3160072
{txt}{space 17}t7 {c |}{col 21}{res}{space 2}  .499885{col 33}{space 2} .0496306{col 44}{space 1}   10.07{col 53}{space 3}0.000{col 61}{space 4} .4026108{col 74}{space 3} .5971592
{txt}{space 17}t8 {c |}{col 21}{res}{space 2} .5308107{col 33}{space 2} .0417356{col 44}{space 1}   12.72{col 53}{space 3}0.000{col 61}{space 4} .4490103{col 74}{space 3} .6126111
{txt}{space 17}t9 {c |}{col 21}{res}{space 2} .1645769{col 33}{space 2} .0425127{col 44}{space 1}    3.87{col 53}{space 3}0.000{col 61}{space 4} .0812535{col 74}{space 3} .2479004
{txt}{space 16}t10 {c |}{col 21}{res}{space 2} .1702921{col 33}{space 2} .0416352{col 44}{space 1}    4.09{col 53}{space 3}0.000{col 61}{space 4} .0886887{col 74}{space 3} .2518955
{txt}{space 16}t11 {c |}{col 21}{res}{space 2} .1446742{col 33}{space 2} .0398846{col 44}{space 1}    3.63{col 53}{space 3}0.000{col 61}{space 4} .0665017{col 74}{space 3} .2228466
{txt}{space 16}t12 {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (omitted)
{space 14}_cons {c |}{col 21}{res}{space 2} 6.678518{col 33}{space 2} .6554312{col 44}{space 1}   10.19{col 53}{space 3}0.000{col 61}{space 4} 5.393897{col 74}{space 3}  7.96314
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              /ln_r {c |}{col 21}{res}{space 2} 3.818646{col 33}{space 2}  .194099{col 61}{space 4} 3.438219{col 74}{space 3} 4.199073
{txt}              /ln_s {c |}{col 21}{res}{space 2} 4.035392{col 33}{space 2} .2156293{col 61}{space 4} 3.612767{col 74}{space 3} 4.458018
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                  r {c |}{col 21}{res}{space 2} 45.54251{col 33}{space 2} 8.839756{col 61}{space 4} 31.13147{col 74}{space 3} 66.62455
{txt}                  s {c |}{col 21}{res}{space 2} 56.56511{col 33}{space 2} 12.19709{col 61}{space 4} 37.06847{col 74}{space 3} 86.31625
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}142.75{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. 
. 
. ***************************************************************************************************
. **Table A.13: Determinants of Monadic Diplomatic Representation, Non-Interpolated Malaria Measure**
. ***************************************************************************************************
. 
. *Pooled model
. nbreg dr_1_at_2_m Lcid_malaria_2_m Lcid_per_trop_2_m Llog_trade_m  Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Llog_distance_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12
{txt}note: t12 omitted because of collinearity

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4883.9273}  
Iteration 1:{space 3}log likelihood = {res:-4883.8131}  
Iteration 2:{space 3}log likelihood = {res:-4883.8131}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-5193.1925}  
Iteration 1:{space 3}log likelihood = {res:-5023.6054}  
Iteration 2:{space 3}log likelihood = {res:-4998.2503}  
Iteration 3:{space 3}log likelihood = {res: -4998.226}  
Iteration 4:{space 3}log likelihood = {res: -4998.226}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4620.6376}  
Iteration 1:{space 3}log likelihood = {res:-4388.6876}  
Iteration 2:{space 3}log likelihood = {res:-4385.2677}  
Iteration 3:{space 3}log likelihood = {res:-4254.5976}  
Iteration 4:{space 3}log likelihood = {res:-4238.2155}  
Iteration 5:{space 3}log likelihood = {res:-4237.2577}  
Iteration 6:{space 3}log likelihood = {res:-4237.2564}  
Iteration 7:{space 3}log likelihood = {res:-4237.2564}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,072
{txt}{col 49}LR chi2({res}17{txt}){col 67}= {res}   1521.94
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4237.2564{txt}{col 49}Pseudo R2{col 67}= {res}    0.1522

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      dr_1_at_2_m{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}Lcid_malaria_2_m {c |}{col 19}{res}{space 2}-.1228963{col 31}{space 2} .0384432{col 42}{space 1}   -3.20{col 51}{space 3}0.001{col 59}{space 4}-.1982436{col 72}{space 3}-.0475489
{txt}Lcid_per_trop_2_m {c |}{col 19}{res}{space 2} .1982614{col 31}{space 2} .0345939{col 42}{space 1}    5.73{col 51}{space 3}0.000{col 59}{space 4} .1304586{col 72}{space 3} .2660642
{txt}{space 5}Llog_trade_m {c |}{col 19}{res}{space 2} .0008683{col 31}{space 2} .0000576{col 42}{space 1}   15.09{col 51}{space 3}0.000{col 59}{space 4} .0007555{col 72}{space 3} .0009811
{txt}{space 3}Llog_gdppc_2_m {c |}{col 19}{res}{space 2} .0567778{col 31}{space 2} .0168567{col 42}{space 1}    3.37{col 51}{space 3}0.001{col 59}{space 4} .0237392{col 72}{space 3} .0898164
{txt}{space 5}Lln_cinc_2_m {c |}{col 19}{res}{space 2} .1456609{col 31}{space 2}  .010094{col 42}{space 1}   14.43{col 51}{space 3}0.000{col 59}{space 4} .1258771{col 72}{space 3} .1654448
{txt}{space 3}Ldemocracy_2_m {c |}{col 19}{res}{space 2}-.0949511{col 31}{space 2} .0257604{col 42}{space 1}   -3.69{col 51}{space 3}0.000{col 59}{space 4}-.1454406{col 72}{space 3}-.0444616
{txt}{space 2}Llog_distance_m {c |}{col 19}{res}{space 2}-.2981927{col 31}{space 2}  .035447{col 42}{space 1}   -8.41{col 51}{space 3}0.000{col 59}{space 4}-.3676675{col 72}{space 3}-.2287179
{txt}{space 15}t2 {c |}{col 19}{res}{space 2} .2813745{col 31}{space 2} .1109917{col 42}{space 1}    2.54{col 51}{space 3}0.011{col 59}{space 4} .0638348{col 72}{space 3} .4989142
{txt}{space 15}t3 {c |}{col 19}{res}{space 2} .4288065{col 31}{space 2} .0692125{col 42}{space 1}    6.20{col 51}{space 3}0.000{col 59}{space 4} .2931525{col 72}{space 3} .5644605
{txt}{space 15}t4 {c |}{col 19}{res}{space 2} .4795059{col 31}{space 2} .0648137{col 42}{space 1}    7.40{col 51}{space 3}0.000{col 59}{space 4} .3524733{col 72}{space 3} .6065384
{txt}{space 15}t5 {c |}{col 19}{res}{space 2} .4004434{col 31}{space 2} .0543668{col 42}{space 1}    7.37{col 51}{space 3}0.000{col 59}{space 4} .2938865{col 72}{space 3} .5070003
{txt}{space 15}t6 {c |}{col 19}{res}{space 2} .2949447{col 31}{space 2} .0460727{col 42}{space 1}    6.40{col 51}{space 3}0.000{col 59}{space 4} .2046439{col 72}{space 3} .3852455
{txt}{space 15}t7 {c |}{col 19}{res}{space 2} .5398608{col 31}{space 2} .0418278{col 42}{space 1}   12.91{col 51}{space 3}0.000{col 59}{space 4} .4578799{col 72}{space 3} .6218417
{txt}{space 15}t8 {c |}{col 19}{res}{space 2} .5963216{col 31}{space 2} .0389726{col 42}{space 1}   15.30{col 51}{space 3}0.000{col 59}{space 4} .5199366{col 72}{space 3} .6727065
{txt}{space 15}t9 {c |}{col 19}{res}{space 2} .1412322{col 31}{space 2} .0388931{col 42}{space 1}    3.63{col 51}{space 3}0.000{col 59}{space 4} .0650031{col 72}{space 3} .2174612
{txt}{space 14}t10 {c |}{col 19}{res}{space 2} .1507978{col 31}{space 2} .0385717{col 42}{space 1}    3.91{col 51}{space 3}0.000{col 59}{space 4} .0751986{col 72}{space 3}  .226397
{txt}{space 14}t11 {c |}{col 19}{res}{space 2} .1607669{col 31}{space 2} .0373383{col 42}{space 1}    4.31{col 51}{space 3}0.000{col 59}{space 4} .0875851{col 72}{space 3} .2339486
{txt}{space 14}t12 {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 12}_cons {c |}{col 19}{res}{space 2} 5.446421{col 31}{space 2} .3242734{col 42}{space 1}   16.80{col 51}{space 3}0.000{col 59}{space 4} 4.810857{col 72}{space 3} 6.081986
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         /lnalpha {c |}{col 19}{res}{space 2}-2.677039{col 31}{space 2}  .065092{col 59}{space 4}-2.804617{col 72}{space 3}-2.549461
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} .0687665{col 31}{space 2} .0044762{col 59}{space 4}   .06053{col 72}{space 3} .0781238
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}1293.11{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. 
. *Pooled model
. nbreg dr_1_at_2_m Lcid_malaria_2_m Lcid_per_trop_2_m Llog_trade_m  Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Llog_distance_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12, cluster(cowcode_2)
{txt}note: t12 omitted because of collinearity

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4883.9273}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4883.8131}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4883.8131}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5193.1925}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5023.6054}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4998.2503}  
Iteration 3:{space 3}log pseudolikelihood = {res: -4998.226}  
Iteration 4:{space 3}log pseudolikelihood = {res: -4998.226}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4620.6376}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4388.6876}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4385.2677}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4254.5976}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4238.2155}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4237.2577}  
Iteration 6:{space 3}log pseudolikelihood = {res:-4237.2564}  
Iteration 7:{space 3}log pseudolikelihood = {res:-4237.2564}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,072
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   1240.31
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-4237.2564{txt}{col 49}Pseudo R2{col 67}= {res}    0.1522

{txt}{ralign 83:(Std. Err. adjusted for {res:153} clusters in cowcode_2)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}      dr_1_at_2_m{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}Lcid_malaria_2_m {c |}{col 19}{res}{space 2}-.1228963{col 31}{space 2} .0660715{col 42}{space 1}   -1.86{col 51}{space 3}0.063{col 59}{space 4}-.2523941{col 72}{space 3} .0066015
{txt}Lcid_per_trop_2_m {c |}{col 19}{res}{space 2} .1982614{col 31}{space 2}  .072008{col 42}{space 1}    2.75{col 51}{space 3}0.006{col 59}{space 4} .0571284{col 72}{space 3} .3393944
{txt}{space 5}Llog_trade_m {c |}{col 19}{res}{space 2} .0008683{col 31}{space 2} .0000941{col 42}{space 1}    9.23{col 51}{space 3}0.000{col 59}{space 4} .0006839{col 72}{space 3} .0010528
{txt}{space 3}Llog_gdppc_2_m {c |}{col 19}{res}{space 2} .0567778{col 31}{space 2}  .027882{col 42}{space 1}    2.04{col 51}{space 3}0.042{col 59}{space 4} .0021301{col 72}{space 3} .1114255
{txt}{space 5}Lln_cinc_2_m {c |}{col 19}{res}{space 2} .1456609{col 31}{space 2}  .017578{col 42}{space 1}    8.29{col 51}{space 3}0.000{col 59}{space 4} .1112086{col 72}{space 3} .1801132
{txt}{space 3}Ldemocracy_2_m {c |}{col 19}{res}{space 2}-.0949511{col 31}{space 2} .0364858{col 42}{space 1}   -2.60{col 51}{space 3}0.009{col 59}{space 4} -.166462{col 72}{space 3}-.0234402
{txt}{space 2}Llog_distance_m {c |}{col 19}{res}{space 2}-.2981927{col 31}{space 2} .0710268{col 42}{space 1}   -4.20{col 51}{space 3}0.000{col 59}{space 4}-.4374027{col 72}{space 3}-.1589828
{txt}{space 15}t2 {c |}{col 19}{res}{space 2} .2813745{col 31}{space 2} .1183274{col 42}{space 1}    2.38{col 51}{space 3}0.017{col 59}{space 4}  .049457{col 72}{space 3}  .513292
{txt}{space 15}t3 {c |}{col 19}{res}{space 2} .4288065{col 31}{space 2} .0822981{col 42}{space 1}    5.21{col 51}{space 3}0.000{col 59}{space 4} .2675052{col 72}{space 3} .5901078
{txt}{space 15}t4 {c |}{col 19}{res}{space 2} .4795059{col 31}{space 2} .0745609{col 42}{space 1}    6.43{col 51}{space 3}0.000{col 59}{space 4} .3333692{col 72}{space 3} .6256425
{txt}{space 15}t5 {c |}{col 19}{res}{space 2} .4004434{col 31}{space 2} .0655911{col 42}{space 1}    6.11{col 51}{space 3}0.000{col 59}{space 4} .2718872{col 72}{space 3} .5289996
{txt}{space 15}t6 {c |}{col 19}{res}{space 2} .2949447{col 31}{space 2} .0565761{col 42}{space 1}    5.21{col 51}{space 3}0.000{col 59}{space 4} .1840576{col 72}{space 3} .4058319
{txt}{space 15}t7 {c |}{col 19}{res}{space 2} .5398608{col 31}{space 2}  .048592{col 42}{space 1}   11.11{col 51}{space 3}0.000{col 59}{space 4} .4446224{col 72}{space 3} .6350993
{txt}{space 15}t8 {c |}{col 19}{res}{space 2} .5963216{col 31}{space 2} .0426018{col 42}{space 1}   14.00{col 51}{space 3}0.000{col 59}{space 4} .5128235{col 72}{space 3} .6798196
{txt}{space 15}t9 {c |}{col 19}{res}{space 2} .1412322{col 31}{space 2} .0260246{col 42}{space 1}    5.43{col 51}{space 3}0.000{col 59}{space 4}  .090225{col 72}{space 3} .1922394
{txt}{space 14}t10 {c |}{col 19}{res}{space 2} .1507978{col 31}{space 2} .0245465{col 42}{space 1}    6.14{col 51}{space 3}0.000{col 59}{space 4} .1026876{col 72}{space 3} .1989079
{txt}{space 14}t11 {c |}{col 19}{res}{space 2} .1607669{col 31}{space 2} .0207406{col 42}{space 1}    7.75{col 51}{space 3}0.000{col 59}{space 4} .1201161{col 72}{space 3} .2014176
{txt}{space 14}t12 {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 12}_cons {c |}{col 19}{res}{space 2} 5.446421{col 31}{space 2} .6046229{col 42}{space 1}    9.01{col 51}{space 3}0.000{col 59}{space 4} 4.261382{col 72}{space 3} 6.631461
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         /lnalpha {c |}{col 19}{res}{space 2}-2.677039{col 31}{space 2} .1535176{col 59}{space 4}-2.977928{col 72}{space 3} -2.37615
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} .0687665{col 31}{space 2} .0105569{col 59}{space 4} .0508982{col 72}{space 3} .0929076
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Fixed effects model
. xtnbreg dr_1_at_2_m Lcid_malaria_2_m Llog_trade_m Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12, fe
{txt}note: 19 groups (19 obs) dropped because of only one obs per group
note: t12 omitted because of collinearity
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3287.6074}  
Iteration 1:{space 3}log likelihood = {res:-3278.1611}  
Iteration 2:{space 3}log likelihood = {res:-3278.1481}  
Iteration 3:{space 3}log likelihood = {res:-3278.1481}  
{res}
{txt}Conditional FE negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}     1,066
{txt}Group variable: {res}cowcode_2{col 49}{txt}Number of groups{col 67}={col 69}{res}       136

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         2
{txt}{col 63}avg{col 67}={col 69}{res}       7.8
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}15{txt}){col 67}={col 70}{res}  1403.16
{txt}Log likelihood  = {res}-3278.1481{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     dr_1_at_2_m{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Lcid_malaria_2_m {c |}{col 18}{res}{space 2}-.0010475{col 30}{space 2} .0436359{col 41}{space 1}   -0.02{col 50}{space 3}0.981{col 58}{space 4}-.0865723{col 71}{space 3} .0844773
{txt}{space 4}Llog_trade_m {c |}{col 18}{res}{space 2} .0008728{col 30}{space 2} .0000821{col 41}{space 1}   10.64{col 50}{space 3}0.000{col 58}{space 4}  .000712{col 71}{space 3} .0010336
{txt}{space 2}Llog_gdppc_2_m {c |}{col 18}{res}{space 2}-.0314118{col 30}{space 2} .0356208{col 41}{space 1}   -0.88{col 50}{space 3}0.378{col 58}{space 4}-.1012272{col 71}{space 3} .0384037
{txt}{space 4}Lln_cinc_2_m {c |}{col 18}{res}{space 2} .0759975{col 30}{space 2} .0309243{col 41}{space 1}    2.46{col 50}{space 3}0.014{col 58}{space 4}  .015387{col 71}{space 3}  .136608
{txt}{space 2}Ldemocracy_2_m {c |}{col 18}{res}{space 2}-.0392641{col 30}{space 2} .0307199{col 41}{space 1}   -1.28{col 50}{space 3}0.201{col 58}{space 4} -.099474{col 71}{space 3} .0209458
{txt}{space 14}t2 {c |}{col 18}{res}{space 2} .2406492{col 30}{space 2} .1191326{col 41}{space 1}    2.02{col 50}{space 3}0.043{col 58}{space 4} .0071535{col 71}{space 3} .4741449
{txt}{space 14}t3 {c |}{col 18}{res}{space 2} .2991888{col 30}{space 2} .0880946{col 41}{space 1}    3.40{col 50}{space 3}0.001{col 58}{space 4} .1265264{col 71}{space 3} .4718511
{txt}{space 14}t4 {c |}{col 18}{res}{space 2} .3346078{col 30}{space 2}   .08161{col 41}{space 1}    4.10{col 50}{space 3}0.000{col 58}{space 4} .1746552{col 71}{space 3} .4945604
{txt}{space 14}t5 {c |}{col 18}{res}{space 2} .2889735{col 30}{space 2} .0687643{col 41}{space 1}    4.20{col 50}{space 3}0.000{col 58}{space 4} .1541979{col 71}{space 3} .4237491
{txt}{space 14}t6 {c |}{col 18}{res}{space 2}  .216441{col 30}{space 2} .0562027{col 41}{space 1}    3.85{col 50}{space 3}0.000{col 58}{space 4} .1062857{col 71}{space 3} .3265963
{txt}{space 14}t7 {c |}{col 18}{res}{space 2} .4559212{col 30}{space 2} .0445709{col 41}{space 1}   10.23{col 50}{space 3}0.000{col 58}{space 4} .3685639{col 71}{space 3} .5432784
{txt}{space 14}t8 {c |}{col 18}{res}{space 2} .4828873{col 30}{space 2} .0331121{col 41}{space 1}   14.58{col 50}{space 3}0.000{col 58}{space 4} .4179887{col 71}{space 3} .5477859
{txt}{space 14}t9 {c |}{col 18}{res}{space 2} .1029005{col 30}{space 2} .0341394{col 41}{space 1}    3.01{col 50}{space 3}0.003{col 58}{space 4} .0359884{col 71}{space 3} .1698126
{txt}{space 13}t10 {c |}{col 18}{res}{space 2} .1096683{col 30}{space 2} .0332211{col 41}{space 1}    3.30{col 50}{space 3}0.001{col 58}{space 4} .0445561{col 71}{space 3} .1747804
{txt}{space 13}t11 {c |}{col 18}{res}{space 2} .1235674{col 30}{space 2} .0295906{col 41}{space 1}    4.18{col 50}{space 3}0.000{col 58}{space 4}  .065571{col 71}{space 3} .1815638
{txt}{space 13}t12 {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (omitted)
{space 11}_cons {c |}{col 18}{res}{space 2} 3.198285{col 30}{space 2} .3384846{col 41}{space 1}    9.45{col 50}{space 3}0.000{col 58}{space 4} 2.534867{col 71}{space 3} 3.861703
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Random effects model
. xtnbreg dr_1_at_2_m Lcid_malaria_2_m Lcid_per_trop_2_m Llog_trade_m Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Llog_distance_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12, i(cowcode_2) 
{txt}note: t12 omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4883.9273}  
Iteration 1:{space 3}log likelihood = {res:-4883.8131}  
Iteration 2:{space 3}log likelihood = {res:-4883.8131}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-8040.7755}  
Iteration 1:{space 3}log likelihood = {res:-6033.6555}  
Iteration 2:{space 3}log likelihood = {res:-5807.0194}  
Iteration 3:{space 3}log likelihood = {res:-5001.0743}  
Iteration 4:{space 3}log likelihood = {res:-4998.2286}  
Iteration 5:{space 3}log likelihood = {res: -4998.226}  
Iteration 6:{space 3}log likelihood = {res: -4998.226}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -4998.226}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-4700.5202}  
Iteration 2:{space 3}log likelihood = {res:-4660.0334}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-4346.1463}  
Iteration 4:{space 3}log likelihood = {res: -4297.017}  
Iteration 5:{space 3}log likelihood = {res:-4197.6596}  
Iteration 6:{space 3}log likelihood = {res:-4190.1837}  
Iteration 7:{space 3}log likelihood = {res:-4190.0996}  
Iteration 8:{space 3}log likelihood = {res:-4190.0996}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4267.2475}  
Iteration 1:{space 3}log likelihood = {res:-4098.7768}  
Iteration 2:{space 3}log likelihood = {res:-4090.7809}  
Iteration 3:{space 3}log likelihood = {res: -4066.744}  
Iteration 4:{space 3}log likelihood = {res:-4057.3809}  
Iteration 5:{space 3}log likelihood = {res:-4057.0453}  
Iteration 6:{space 3}log likelihood = {res:-4057.0447}  
Iteration 7:{space 3}log likelihood = {res:-4057.0447}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}     1,072
{txt}Group variable: {res}cowcode_2{col 49}{txt}Number of groups{col 67}={col 69}{res}       153

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       7.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}17{txt}){col 67}={col 70}{res}  2286.14
{txt}Log likelihood  = {res}-4057.0447{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      dr_1_at_2_m{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}Lcid_malaria_2_m {c |}{col 19}{res}{space 2}-.0245263{col 31}{space 2} .0403002{col 42}{space 1}   -0.61{col 51}{space 3}0.543{col 59}{space 4}-.1035132{col 72}{space 3} .0544605
{txt}Lcid_per_trop_2_m {c |}{col 19}{res}{space 2} .2038207{col 31}{space 2} .0559532{col 42}{space 1}    3.64{col 51}{space 3}0.000{col 59}{space 4} .0941545{col 72}{space 3}  .313487
{txt}{space 5}Llog_trade_m {c |}{col 19}{res}{space 2} .0009091{col 31}{space 2} .0000615{col 42}{space 1}   14.78{col 51}{space 3}0.000{col 59}{space 4} .0007886{col 72}{space 3} .0010297
{txt}{space 3}Llog_gdppc_2_m {c |}{col 19}{res}{space 2} .0371119{col 31}{space 2} .0242247{col 42}{space 1}    1.53{col 51}{space 3}0.126{col 59}{space 4}-.0103676{col 72}{space 3} .0845914
{txt}{space 5}Lln_cinc_2_m {c |}{col 19}{res}{space 2} .1575843{col 31}{space 2} .0140318{col 42}{space 1}   11.23{col 51}{space 3}0.000{col 59}{space 4} .1300824{col 72}{space 3} .1850862
{txt}{space 3}Ldemocracy_2_m {c |}{col 19}{res}{space 2}-.0479948{col 31}{space 2} .0277908{col 42}{space 1}   -1.73{col 51}{space 3}0.084{col 59}{space 4}-.1024638{col 72}{space 3} .0064742
{txt}{space 2}Llog_distance_m {c |}{col 19}{res}{space 2}-.3688792{col 31}{space 2} .0598584{col 42}{space 1}   -6.16{col 51}{space 3}0.000{col 59}{space 4}-.4861996{col 72}{space 3}-.2515588
{txt}{space 15}t2 {c |}{col 19}{res}{space 2} .3397436{col 31}{space 2}  .102516{col 42}{space 1}    3.31{col 51}{space 3}0.001{col 59}{space 4} .1388159{col 72}{space 3} .5406713
{txt}{space 15}t3 {c |}{col 19}{res}{space 2} .3997874{col 31}{space 2} .0697395{col 42}{space 1}    5.73{col 51}{space 3}0.000{col 59}{space 4} .2631004{col 72}{space 3} .5364743
{txt}{space 15}t4 {c |}{col 19}{res}{space 2} .4307753{col 31}{space 2} .0648659{col 42}{space 1}    6.64{col 51}{space 3}0.000{col 59}{space 4} .3036405{col 72}{space 3} .5579101
{txt}{space 15}t5 {c |}{col 19}{res}{space 2}  .366654{col 31}{space 2} .0539724{col 42}{space 1}    6.79{col 51}{space 3}0.000{col 59}{space 4}   .26087{col 72}{space 3}  .472438
{txt}{space 15}t6 {c |}{col 19}{res}{space 2} .2888277{col 31}{space 2} .0432087{col 42}{space 1}    6.68{col 51}{space 3}0.000{col 59}{space 4} .2041402{col 72}{space 3} .3735151
{txt}{space 15}t7 {c |}{col 19}{res}{space 2} .5135197{col 31}{space 2} .0363591{col 42}{space 1}   14.12{col 51}{space 3}0.000{col 59}{space 4} .4422571{col 72}{space 3} .5847823
{txt}{space 15}t8 {c |}{col 19}{res}{space 2} .5195955{col 31}{space 2} .0296314{col 42}{space 1}   17.54{col 51}{space 3}0.000{col 59}{space 4}  .461519{col 72}{space 3} .5776719
{txt}{space 15}t9 {c |}{col 19}{res}{space 2}  .147861{col 31}{space 2} .0304443{col 42}{space 1}    4.86{col 51}{space 3}0.000{col 59}{space 4} .0881912{col 72}{space 3} .2075308
{txt}{space 14}t10 {c |}{col 19}{res}{space 2} .1584667{col 31}{space 2} .0300432{col 42}{space 1}    5.27{col 51}{space 3}0.000{col 59}{space 4}  .099583{col 72}{space 3} .2173503
{txt}{space 14}t11 {c |}{col 19}{res}{space 2} .1669531{col 31}{space 2}  .027674{col 42}{space 1}    6.03{col 51}{space 3}0.000{col 59}{space 4} .1127131{col 72}{space 3} .2211932
{txt}{space 14}t12 {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 12}_cons {c |}{col 19}{res}{space 2} 5.988924{col 31}{space 2} .5454915{col 42}{space 1}   10.98{col 51}{space 3}0.000{col 59}{space 4}  4.91978{col 72}{space 3} 7.058067
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            /ln_r {c |}{col 19}{res}{space 2} 3.692408{col 31}{space 2} .1596494{col 59}{space 4} 3.379501{col 72}{space 3} 4.005315
{txt}            /ln_s {c |}{col 19}{res}{space 2} 3.833525{col 31}{space 2} .1776459{col 59}{space 4} 3.485346{col 72}{space 3} 4.181705
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                r {c |}{col 19}{res}{space 2} 40.14138{col 31}{space 2} 6.408545{col 59}{space 4} 29.35611{col 72}{space 3} 54.88909
{txt}                s {c |}{col 19}{res}{space 2} 46.22521{col 31}{space 2} 8.211718{col 59}{space 4} 32.63371{col 72}{space 3} 65.47739
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}266.11{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. 
. 
. ***************************************************************************************************
. **Table A.15: Determinants of Monadic Diplomatic Representation, Population-Based Malaria Measure**
. ***************************************************************************************************
. 
. *Pooled model
. nbreg dr_1_at_2_m Lmalaria_interp_pop_2_m Lcid_per_trop_2_m Llog_trade_m  Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Llog_distance_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12
{txt}note: t12 omitted because of collinearity

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4883.2293}  
Iteration 1:{space 3}log likelihood = {res:-4883.1112}  
Iteration 2:{space 3}log likelihood = {res:-4883.1112}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-5193.1925}  
Iteration 1:{space 3}log likelihood = {res:-5023.6054}  
Iteration 2:{space 3}log likelihood = {res:-4998.2503}  
Iteration 3:{space 3}log likelihood = {res: -4998.226}  
Iteration 4:{space 3}log likelihood = {res: -4998.226}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4620.3727}  
Iteration 1:{space 3}log likelihood = {res:-4387.6116}  
Iteration 2:{space 3}log likelihood = {res:-4385.9735}  
Iteration 3:{space 3}log likelihood = {res:-4254.1975}  
Iteration 4:{space 3}log likelihood = {res:-4237.4667}  
Iteration 5:{space 3}log likelihood = {res:-4236.4431}  
Iteration 6:{space 3}log likelihood = {res:-4236.4416}  
Iteration 7:{space 3}log likelihood = {res:-4236.4416}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,072
{txt}{col 49}LR chi2({res}17{txt}){col 67}= {res}   1523.57
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4236.4416{txt}{col 49}Pseudo R2{col 67}= {res}    0.1524

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            dr_1_at_2_m{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Lmalaria_interp_pop_2_m {c |}{col 25}{res}{space 2}-.1291271{col 37}{space 2} .0375124{col 48}{space 1}   -3.44{col 57}{space 3}0.001{col 65}{space 4}-.2026501{col 78}{space 3} -.055604
{txt}{space 6}Lcid_per_trop_2_m {c |}{col 25}{res}{space 2} .1882503{col 37}{space 2} .0324416{col 48}{space 1}    5.80{col 57}{space 3}0.000{col 65}{space 4} .1246658{col 78}{space 3} .2518347
{txt}{space 11}Llog_trade_m {c |}{col 25}{res}{space 2} .0008717{col 37}{space 2} .0000576{col 48}{space 1}   15.14{col 57}{space 3}0.000{col 65}{space 4} .0007589{col 78}{space 3} .0009845
{txt}{space 9}Llog_gdppc_2_m {c |}{col 25}{res}{space 2} .0508116{col 37}{space 2} .0173555{col 48}{space 1}    2.93{col 57}{space 3}0.003{col 65}{space 4} .0167954{col 78}{space 3} .0848279
{txt}{space 11}Lln_cinc_2_m {c |}{col 25}{res}{space 2} .1438714{col 37}{space 2} .0100892{col 48}{space 1}   14.26{col 57}{space 3}0.000{col 65}{space 4}  .124097{col 78}{space 3} .1636458
{txt}{space 9}Ldemocracy_2_m {c |}{col 25}{res}{space 2}-.0989001{col 37}{space 2} .0259148{col 48}{space 1}   -3.82{col 57}{space 3}0.000{col 65}{space 4}-.1496923{col 78}{space 3} -.048108
{txt}{space 8}Llog_distance_m {c |}{col 25}{res}{space 2}-.3038173{col 37}{space 2} .0355457{col 48}{space 1}   -8.55{col 57}{space 3}0.000{col 65}{space 4}-.3734856{col 78}{space 3} -.234149
{txt}{space 21}t2 {c |}{col 25}{res}{space 2} .2866544{col 37}{space 2} .1109261{col 48}{space 1}    2.58{col 57}{space 3}0.010{col 65}{space 4} .0692433{col 78}{space 3} .5040656
{txt}{space 21}t3 {c |}{col 25}{res}{space 2} .4324791{col 37}{space 2} .0692192{col 48}{space 1}    6.25{col 57}{space 3}0.000{col 65}{space 4}  .296812{col 78}{space 3} .5681462
{txt}{space 21}t4 {c |}{col 25}{res}{space 2} .4635145{col 37}{space 2} .0640641{col 48}{space 1}    7.24{col 57}{space 3}0.000{col 65}{space 4} .3379511{col 78}{space 3} .5890779
{txt}{space 21}t5 {c |}{col 25}{res}{space 2} .3811324{col 37}{space 2} .0536035{col 48}{space 1}    7.11{col 57}{space 3}0.000{col 65}{space 4} .2760714{col 78}{space 3} .4861934
{txt}{space 21}t6 {c |}{col 25}{res}{space 2} .2949178{col 37}{space 2} .0460227{col 48}{space 1}    6.41{col 57}{space 3}0.000{col 65}{space 4}  .204715{col 78}{space 3} .3851207
{txt}{space 21}t7 {c |}{col 25}{res}{space 2}  .543662{col 37}{space 2} .0418633{col 48}{space 1}   12.99{col 57}{space 3}0.000{col 65}{space 4} .4616115{col 78}{space 3} .6257125
{txt}{space 21}t8 {c |}{col 25}{res}{space 2} .5925591{col 37}{space 2} .0388177{col 48}{space 1}   15.27{col 57}{space 3}0.000{col 65}{space 4} .5164778{col 78}{space 3} .6686404
{txt}{space 21}t9 {c |}{col 25}{res}{space 2} .1413154{col 37}{space 2} .0388425{col 48}{space 1}    3.64{col 57}{space 3}0.000{col 65}{space 4} .0651855{col 78}{space 3} .2174454
{txt}{space 20}t10 {c |}{col 25}{res}{space 2} .1518901{col 37}{space 2} .0385427{col 48}{space 1}    3.94{col 57}{space 3}0.000{col 65}{space 4} .0763478{col 78}{space 3} .2274325
{txt}{space 20}t11 {c |}{col 25}{res}{space 2} .1569313{col 37}{space 2} .0372578{col 48}{space 1}    4.21{col 57}{space 3}0.000{col 65}{space 4} .0839074{col 78}{space 3} .2299553
{txt}{space 20}t12 {c |}{col 25}{res}{space 2}        0{col 37}{txt}  (omitted)
{space 18}_cons {c |}{col 25}{res}{space 2} 5.533607{col 37}{space 2} .3291597{col 48}{space 1}   16.81{col 57}{space 3}0.000{col 65}{space 4} 4.888466{col 78}{space 3} 6.178748
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
               /lnalpha {c |}{col 25}{res}{space 2}-2.679367{col 37}{space 2} .0651185{col 65}{space 4}-2.806997{col 78}{space 3}-2.551737
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                  alpha {c |}{col 25}{res}{space 2} .0686066{col 37}{space 2} .0044676{col 65}{space 4} .0603861{col 78}{space 3} .0779462
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}1293.34{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. 
. *Pooled (clustered se's) model
. nbreg dr_1_at_2_m Lmalaria_interp_pop_2_m Lcid_per_trop_2_m Llog_trade_m  Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Llog_distance_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12, cluster(cowcode_2)
{txt}note: t12 omitted because of collinearity

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4883.2293}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4883.1112}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4883.1112}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5193.1925}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5023.6054}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4998.2503}  
Iteration 3:{space 3}log pseudolikelihood = {res: -4998.226}  
Iteration 4:{space 3}log pseudolikelihood = {res: -4998.226}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4620.3727}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4387.6116}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4385.9735}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4254.1975}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4237.4667}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4236.4431}  
Iteration 6:{space 3}log pseudolikelihood = {res:-4236.4416}  
Iteration 7:{space 3}log pseudolikelihood = {res:-4236.4416}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,072
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   1272.73
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-4236.4416{txt}{col 49}Pseudo R2{col 67}= {res}    0.1524

{txt}{ralign 89:(Std. Err. adjusted for {res:153} clusters in cowcode_2)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}            dr_1_at_2_m{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Lmalaria_interp_pop_2_m {c |}{col 25}{res}{space 2}-.1291271{col 37}{space 2} .0569892{col 48}{space 1}   -2.27{col 57}{space 3}0.023{col 65}{space 4}-.2408239{col 78}{space 3}-.0174303
{txt}{space 6}Lcid_per_trop_2_m {c |}{col 25}{res}{space 2} .1882503{col 37}{space 2} .0687252{col 48}{space 1}    2.74{col 57}{space 3}0.006{col 65}{space 4} .0535513{col 78}{space 3} .3229493
{txt}{space 11}Llog_trade_m {c |}{col 25}{res}{space 2} .0008717{col 37}{space 2} .0000959{col 48}{space 1}    9.09{col 57}{space 3}0.000{col 65}{space 4} .0006836{col 78}{space 3} .0010597
{txt}{space 9}Llog_gdppc_2_m {c |}{col 25}{res}{space 2} .0508116{col 37}{space 2}  .028194{col 48}{space 1}    1.80{col 57}{space 3}0.072{col 65}{space 4}-.0044476{col 78}{space 3} .1060709
{txt}{space 11}Lln_cinc_2_m {c |}{col 25}{res}{space 2} .1438714{col 37}{space 2} .0173286{col 48}{space 1}    8.30{col 57}{space 3}0.000{col 65}{space 4}  .109908{col 78}{space 3} .1778348
{txt}{space 9}Ldemocracy_2_m {c |}{col 25}{res}{space 2}-.0989001{col 37}{space 2} .0360926{col 48}{space 1}   -2.74{col 57}{space 3}0.006{col 65}{space 4}-.1696404{col 78}{space 3}-.0281599
{txt}{space 8}Llog_distance_m {c |}{col 25}{res}{space 2}-.3038173{col 37}{space 2} .0713932{col 48}{space 1}   -4.26{col 57}{space 3}0.000{col 65}{space 4}-.4437455{col 78}{space 3}-.1638891
{txt}{space 21}t2 {c |}{col 25}{res}{space 2} .2866544{col 37}{space 2} .1199143{col 48}{space 1}    2.39{col 57}{space 3}0.017{col 65}{space 4} .0516266{col 78}{space 3} .5216822
{txt}{space 21}t3 {c |}{col 25}{res}{space 2} .4324791{col 37}{space 2} .0855079{col 48}{space 1}    5.06{col 57}{space 3}0.000{col 65}{space 4} .2648867{col 78}{space 3} .6000715
{txt}{space 21}t4 {c |}{col 25}{res}{space 2} .4635145{col 37}{space 2} .0765022{col 48}{space 1}    6.06{col 57}{space 3}0.000{col 65}{space 4}  .313573{col 78}{space 3} .6134559
{txt}{space 21}t5 {c |}{col 25}{res}{space 2} .3811324{col 37}{space 2} .0661424{col 48}{space 1}    5.76{col 57}{space 3}0.000{col 65}{space 4} .2514957{col 78}{space 3} .5107691
{txt}{space 21}t6 {c |}{col 25}{res}{space 2} .2949178{col 37}{space 2} .0578963{col 48}{space 1}    5.09{col 57}{space 3}0.000{col 65}{space 4} .1814432{col 78}{space 3} .4083925
{txt}{space 21}t7 {c |}{col 25}{res}{space 2}  .543662{col 37}{space 2} .0500351{col 48}{space 1}   10.87{col 57}{space 3}0.000{col 65}{space 4} .4455949{col 78}{space 3}  .641729
{txt}{space 21}t8 {c |}{col 25}{res}{space 2} .5925591{col 37}{space 2} .0428698{col 48}{space 1}   13.82{col 57}{space 3}0.000{col 65}{space 4} .5085358{col 78}{space 3} .6765823
{txt}{space 21}t9 {c |}{col 25}{res}{space 2} .1413154{col 37}{space 2} .0268796{col 48}{space 1}    5.26{col 57}{space 3}0.000{col 65}{space 4} .0886324{col 78}{space 3} .1939985
{txt}{space 20}t10 {c |}{col 25}{res}{space 2} .1518901{col 37}{space 2} .0254413{col 48}{space 1}    5.97{col 57}{space 3}0.000{col 65}{space 4} .1020261{col 78}{space 3} .2017541
{txt}{space 20}t11 {c |}{col 25}{res}{space 2} .1569313{col 37}{space 2} .0207724{col 48}{space 1}    7.55{col 57}{space 3}0.000{col 65}{space 4} .1162182{col 78}{space 3} .1976445
{txt}{space 20}t12 {c |}{col 25}{res}{space 2}        0{col 37}{txt}  (omitted)
{space 18}_cons {c |}{col 25}{res}{space 2} 5.533607{col 37}{space 2} .6006508{col 48}{space 1}    9.21{col 57}{space 3}0.000{col 65}{space 4} 4.356353{col 78}{space 3} 6.710861
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
               /lnalpha {c |}{col 25}{res}{space 2}-2.679367{col 37}{space 2} .1514609{col 65}{space 4}-2.976225{col 78}{space 3}-2.382509
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                  alpha {c |}{col 25}{res}{space 2} .0686066{col 37}{space 2} .0103912{col 65}{space 4}  .050985{col 78}{space 3} .0923187
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Fixed effects model
. xtnbreg dr_1_at_2_m Lmalaria_interp_pop_2_m Llog_trade_m Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12, fe
{txt}note: 19 groups (19 obs) dropped because of only one obs per group
note: t12 omitted because of collinearity
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3283.9327}  
Iteration 1:{space 3}log likelihood = {res:-3275.5279}  
Iteration 2:{space 3}log likelihood = {res:-3275.5149}  
Iteration 3:{space 3}log likelihood = {res:-3275.5149}  
{res}
{txt}Conditional FE negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}     1,066
{txt}Group variable: {res}cowcode_2{col 49}{txt}Number of groups{col 67}={col 69}{res}       136

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         2
{txt}{col 63}avg{col 67}={col 69}{res}       7.8
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}15{txt}){col 67}={col 70}{res}  1403.08
{txt}Log likelihood  = {res}-3275.5149{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            dr_1_at_2_m{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Lmalaria_interp_pop_2_m {c |}{col 25}{res}{space 2}-.0930332{col 37}{space 2} .0406294{col 48}{space 1}   -2.29{col 57}{space 3}0.022{col 65}{space 4}-.1726653{col 78}{space 3}-.0134011
{txt}{space 11}Llog_trade_m {c |}{col 25}{res}{space 2} .0008626{col 37}{space 2} .0000821{col 48}{space 1}   10.50{col 57}{space 3}0.000{col 65}{space 4} .0007016{col 78}{space 3} .0010236
{txt}{space 9}Llog_gdppc_2_m {c |}{col 25}{res}{space 2}-.0431622{col 37}{space 2} .0356385{col 48}{space 1}   -1.21{col 57}{space 3}0.226{col 65}{space 4}-.1130124{col 78}{space 3} .0266881
{txt}{space 11}Lln_cinc_2_m {c |}{col 25}{res}{space 2} .0626608{col 37}{space 2} .0308293{col 48}{space 1}    2.03{col 57}{space 3}0.042{col 65}{space 4} .0022365{col 78}{space 3} .1230851
{txt}{space 9}Ldemocracy_2_m {c |}{col 25}{res}{space 2}-.0455968{col 37}{space 2} .0304056{col 48}{space 1}   -1.50{col 57}{space 3}0.134{col 65}{space 4}-.1051906{col 78}{space 3}  .013997
{txt}{space 21}t2 {c |}{col 25}{res}{space 2} .2336147{col 37}{space 2} .1192346{col 48}{space 1}    1.96{col 57}{space 3}0.050{col 65}{space 4}-.0000808{col 78}{space 3} .4673103
{txt}{space 21}t3 {c |}{col 25}{res}{space 2} .3060633{col 37}{space 2} .0878031{col 48}{space 1}    3.49{col 57}{space 3}0.000{col 65}{space 4} .1339725{col 78}{space 3} .4781542
{txt}{space 21}t4 {c |}{col 25}{res}{space 2} .3295093{col 37}{space 2} .0812209{col 48}{space 1}    4.06{col 57}{space 3}0.000{col 65}{space 4} .1703193{col 78}{space 3} .4886994
{txt}{space 21}t5 {c |}{col 25}{res}{space 2} .2781337{col 37}{space 2} .0685232{col 48}{space 1}    4.06{col 57}{space 3}0.000{col 65}{space 4} .1438307{col 78}{space 3} .4124367
{txt}{space 21}t6 {c |}{col 25}{res}{space 2} .2108071{col 37}{space 2} .0560384{col 48}{space 1}    3.76{col 57}{space 3}0.000{col 65}{space 4} .1009738{col 78}{space 3} .3206405
{txt}{space 21}t7 {c |}{col 25}{res}{space 2} .4554661{col 37}{space 2} .0444223{col 48}{space 1}   10.25{col 57}{space 3}0.000{col 65}{space 4} .3683999{col 78}{space 3} .5425322
{txt}{space 21}t8 {c |}{col 25}{res}{space 2} .4820551{col 37}{space 2} .0330397{col 48}{space 1}   14.59{col 57}{space 3}0.000{col 65}{space 4} .4172984{col 78}{space 3} .5468117
{txt}{space 21}t9 {c |}{col 25}{res}{space 2} .1015944{col 37}{space 2} .0340949{col 48}{space 1}    2.98{col 57}{space 3}0.003{col 65}{space 4} .0347697{col 78}{space 3} .1684192
{txt}{space 20}t10 {c |}{col 25}{res}{space 2} .1084606{col 37}{space 2} .0331836{col 48}{space 1}    3.27{col 57}{space 3}0.001{col 65}{space 4}  .043422{col 78}{space 3} .1734993
{txt}{space 20}t11 {c |}{col 25}{res}{space 2} .1201109{col 37}{space 2} .0295935{col 48}{space 1}    4.06{col 57}{space 3}0.000{col 65}{space 4} .0621088{col 78}{space 3} .1781131
{txt}{space 20}t12 {c |}{col 25}{res}{space 2}        0{col 37}{txt}  (omitted)
{space 18}_cons {c |}{col 25}{res}{space 2}  3.27087{col 37}{space 2} .3356967{col 48}{space 1}    9.74{col 57}{space 3}0.000{col 65}{space 4} 2.612916{col 78}{space 3} 3.928823
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Random effects model
. xtnbreg dr_1_at_2_m Lmalaria_interp_pop_2_m Lcid_per_trop_2_m Llog_trade_m Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Llog_distance_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12, i(cowcode_2) 
{txt}note: t12 omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4883.2293}  
Iteration 1:{space 3}log likelihood = {res:-4883.1112}  
Iteration 2:{space 3}log likelihood = {res:-4883.1112}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-8040.7755}  
Iteration 1:{space 3}log likelihood = {res:-6033.6555}  
Iteration 2:{space 3}log likelihood = {res:-5807.0194}  
Iteration 3:{space 3}log likelihood = {res:-5001.0743}  
Iteration 4:{space 3}log likelihood = {res:-4998.2286}  
Iteration 5:{space 3}log likelihood = {res: -4998.226}  
Iteration 6:{space 3}log likelihood = {res: -4998.226}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -4998.226}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-4698.3543}  
Iteration 2:{space 3}log likelihood = {res:-4231.3794}  
Iteration 3:{space 3}log likelihood = {res:-4191.4025}  
Iteration 4:{space 3}log likelihood = {res:-4187.8223}  
Iteration 5:{space 3}log likelihood = {res:-4187.8137}  
Iteration 6:{space 3}log likelihood = {res:-4187.8137}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4260.5992}  
Iteration 1:{space 3}log likelihood = {res:-4095.1753}  
Iteration 2:{space 3}log likelihood = {res:-4089.7906}  
Iteration 3:{space 3}log likelihood = {res:-4064.9157}  
Iteration 4:{space 3}log likelihood = {res:-4053.8004}  
Iteration 5:{space 3}log likelihood = {res:-4053.4309}  
Iteration 6:{space 3}log likelihood = {res:-4053.4305}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}     1,072
{txt}Group variable: {res}cowcode_2{col 49}{txt}Number of groups{col 67}={col 69}{res}       153

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       7.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}17{txt}){col 67}={col 70}{res}  2299.87
{txt}Log likelihood  = {res}-4053.4305{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            dr_1_at_2_m{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Lmalaria_interp_pop_2_m {c |}{col 25}{res}{space 2} -.104037{col 37}{space 2} .0378131{col 48}{space 1}   -2.75{col 57}{space 3}0.006{col 65}{space 4}-.1781492{col 78}{space 3}-.0299248
{txt}{space 6}Lcid_per_trop_2_m {c |}{col 25}{res}{space 2} .2350265{col 37}{space 2} .0544886{col 48}{space 1}    4.31{col 57}{space 3}0.000{col 65}{space 4} .1282308{col 78}{space 3} .3418223
{txt}{space 11}Llog_trade_m {c |}{col 25}{res}{space 2} .0009163{col 37}{space 2} .0000613{col 48}{space 1}   14.95{col 57}{space 3}0.000{col 65}{space 4} .0007962{col 78}{space 3} .0010364
{txt}{space 9}Llog_gdppc_2_m {c |}{col 25}{res}{space 2} .0230364{col 37}{space 2} .0243296{col 48}{space 1}    0.95{col 57}{space 3}0.344{col 65}{space 4}-.0246489{col 78}{space 3} .0707216
{txt}{space 11}Lln_cinc_2_m {c |}{col 25}{res}{space 2} .1551766{col 37}{space 2} .0139944{col 48}{space 1}   11.09{col 57}{space 3}0.000{col 65}{space 4} .1277482{col 78}{space 3} .1826051
{txt}{space 9}Ldemocracy_2_m {c |}{col 25}{res}{space 2}-.0543078{col 37}{space 2} .0274617{col 48}{space 1}   -1.98{col 57}{space 3}0.048{col 65}{space 4}-.1081317{col 78}{space 3}-.0004839
{txt}{space 8}Llog_distance_m {c |}{col 25}{res}{space 2}-.3792251{col 37}{space 2} .0598018{col 48}{space 1}   -6.34{col 57}{space 3}0.000{col 65}{space 4}-.4964346{col 78}{space 3}-.2620157
{txt}{space 21}t2 {c |}{col 25}{res}{space 2} .3504303{col 37}{space 2} .1022006{col 48}{space 1}    3.43{col 57}{space 3}0.001{col 65}{space 4} .1501209{col 78}{space 3} .5507397
{txt}{space 21}t3 {c |}{col 25}{res}{space 2} .4217545{col 37}{space 2} .0693119{col 48}{space 1}    6.08{col 57}{space 3}0.000{col 65}{space 4} .2859057{col 78}{space 3} .5576032
{txt}{space 21}t4 {c |}{col 25}{res}{space 2} .4383805{col 37}{space 2} .0637645{col 48}{space 1}    6.87{col 57}{space 3}0.000{col 65}{space 4} .3134044{col 78}{space 3} .5633566
{txt}{space 21}t5 {c |}{col 25}{res}{space 2} .3660567{col 37}{space 2} .0527504{col 48}{space 1}    6.94{col 57}{space 3}0.000{col 65}{space 4} .2626677{col 78}{space 3} .4694456
{txt}{space 21}t6 {c |}{col 25}{res}{space 2} .2932875{col 37}{space 2}  .042952{col 48}{space 1}    6.83{col 57}{space 3}0.000{col 65}{space 4} .2091032{col 78}{space 3} .3774718
{txt}{space 21}t7 {c |}{col 25}{res}{space 2}  .520754{col 37}{space 2} .0363137{col 48}{space 1}   14.34{col 57}{space 3}0.000{col 65}{space 4} .4495804{col 78}{space 3} .5919277
{txt}{space 21}t8 {c |}{col 25}{res}{space 2} .5232376{col 37}{space 2} .0294761{col 48}{space 1}   17.75{col 57}{space 3}0.000{col 65}{space 4} .4654655{col 78}{space 3} .5810098
{txt}{space 21}t9 {c |}{col 25}{res}{space 2} .1524312{col 37}{space 2} .0303929{col 48}{space 1}    5.02{col 57}{space 3}0.000{col 65}{space 4} .0928621{col 78}{space 3} .2120002
{txt}{space 20}t10 {c |}{col 25}{res}{space 2} .1630683{col 37}{space 2} .0300085{col 48}{space 1}    5.43{col 57}{space 3}0.000{col 65}{space 4} .1042527{col 78}{space 3} .2218838
{txt}{space 20}t11 {c |}{col 25}{res}{space 2} .1668875{col 37}{space 2} .0275685{col 48}{space 1}    6.05{col 57}{space 3}0.000{col 65}{space 4} .1128543{col 78}{space 3} .2209207
{txt}{space 20}t12 {c |}{col 25}{res}{space 2}        0{col 37}{txt}  (omitted)
{space 18}_cons {c |}{col 25}{res}{space 2} 6.187146{col 37}{space 2} .5462484{col 48}{space 1}   11.33{col 57}{space 3}0.000{col 65}{space 4} 5.116519{col 78}{space 3} 7.257773
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                  /ln_r {c |}{col 25}{res}{space 2}  3.70627{col 37}{space 2} .1597375{col 65}{space 4}  3.39319{col 78}{space 3}  4.01935
{txt}                  /ln_s {c |}{col 25}{res}{space 2}  3.84298{col 37}{space 2} .1775879{col 65}{space 4} 3.494914{col 78}{space 3} 4.191046
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                      r {c |}{col 25}{res}{space 2}  40.7017{col 37}{space 2} 6.501588{col 65}{space 4} 29.76074{col 78}{space 3} 55.66489
{txt}                      s {c |}{col 25}{res}{space 2} 46.66434{col 37}{space 2} 8.287025{col 65}{space 4} 32.94747{col 78}{space 3} 66.09191
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}268.77{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. 
. 
. ************************************************************************************************************
. **Table A.17: Determinants of Monadic Diplomatic Representation, Combined Endemic Disease Exposure Measure**
. ************************************************************************************************************
. 
. *Pooled model
. nbreg dr_1_at_2_m L_total_exposure_2  Lcid_per_trop_2_m Llog_trade_m  Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Llog_distance_m  t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12
{txt}note: t12 omitted because of collinearity

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4885.0656}  
Iteration 1:{space 3}log likelihood = {res: -4884.952}  
Iteration 2:{space 3}log likelihood = {res: -4884.952}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-5193.1925}  
Iteration 1:{space 3}log likelihood = {res:-5023.6054}  
Iteration 2:{space 3}log likelihood = {res:-4998.2503}  
Iteration 3:{space 3}log likelihood = {res: -4998.226}  
Iteration 4:{space 3}log likelihood = {res: -4998.226}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4620.3896}  
Iteration 1:{space 3}log likelihood = {res:-4388.4302}  
Iteration 2:{space 3}log likelihood = {res:-4385.2058}  
Iteration 3:{space 3}log likelihood = {res:-4254.1861}  
Iteration 4:{space 3}log likelihood = {res:-4237.6733}  
Iteration 5:{space 3}log likelihood = {res:-4236.6932}  
Iteration 6:{space 3}log likelihood = {res:-4236.6919}  
Iteration 7:{space 3}log likelihood = {res:-4236.6919}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,072
{txt}{col 49}LR chi2({res}17{txt}){col 67}= {res}   1523.07
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4236.6919{txt}{col 49}Pseudo R2{col 67}= {res}    0.1524

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       dr_1_at_2_m{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
L_total_exposure_2 {c |}{col 20}{res}{space 2} -.131704{col 32}{space 2} .0391197{col 43}{space 1}   -3.37{col 52}{space 3}0.001{col 60}{space 4}-.2083772{col 73}{space 3}-.0550308
{txt}{space 1}Lcid_per_trop_2_m {c |}{col 20}{res}{space 2} .2124047{col 32}{space 2}  .036473{col 43}{space 1}    5.82{col 52}{space 3}0.000{col 60}{space 4}  .140919{col 73}{space 3} .2838904
{txt}{space 6}Llog_trade_m {c |}{col 20}{res}{space 2}  .000867{col 32}{space 2} .0000575{col 43}{space 1}   15.08{col 52}{space 3}0.000{col 60}{space 4} .0007543{col 73}{space 3} .0009797
{txt}{space 4}Llog_gdppc_2_m {c |}{col 20}{res}{space 2} .0561954{col 32}{space 2} .0168101{col 43}{space 1}    3.34{col 52}{space 3}0.001{col 60}{space 4} .0232483{col 73}{space 3} .0891425
{txt}{space 6}Lln_cinc_2_m {c |}{col 20}{res}{space 2} .1457098{col 32}{space 2} .0100872{col 43}{space 1}   14.45{col 52}{space 3}0.000{col 60}{space 4} .1259392{col 73}{space 3} .1654803
{txt}{space 4}Ldemocracy_2_m {c |}{col 20}{res}{space 2}-.0906602{col 32}{space 2} .0255719{col 43}{space 1}   -3.55{col 52}{space 3}0.000{col 60}{space 4}-.1407803{col 73}{space 3}-.0405402
{txt}{space 3}Llog_distance_m {c |}{col 20}{res}{space 2}-.2963675{col 32}{space 2} .0354002{col 43}{space 1}   -8.37{col 52}{space 3}0.000{col 60}{space 4}-.3657507{col 73}{space 3}-.2269843
{txt}{space 16}t2 {c |}{col 20}{res}{space 2} .2793335{col 32}{space 2} .1109504{col 43}{space 1}    2.52{col 52}{space 3}0.012{col 60}{space 4} .0618749{col 73}{space 3} .4967922
{txt}{space 16}t3 {c |}{col 20}{res}{space 2} .4274236{col 32}{space 2} .0690636{col 43}{space 1}    6.19{col 52}{space 3}0.000{col 60}{space 4} .2920615{col 73}{space 3} .5627857
{txt}{space 16}t4 {c |}{col 20}{res}{space 2} .4610495{col 32}{space 2} .0640474{col 43}{space 1}    7.20{col 52}{space 3}0.000{col 60}{space 4} .3355189{col 73}{space 3}   .58658
{txt}{space 16}t5 {c |}{col 20}{res}{space 2}    .3782{col 32}{space 2} .0535907{col 43}{space 1}    7.06{col 52}{space 3}0.000{col 60}{space 4} .2731641{col 73}{space 3} .4832358
{txt}{space 16}t6 {c |}{col 20}{res}{space 2}  .290143{col 32}{space 2} .0459701{col 43}{space 1}    6.31{col 52}{space 3}0.000{col 60}{space 4} .2000432{col 73}{space 3} .3802427
{txt}{space 16}t7 {c |}{col 20}{res}{space 2} .5395748{col 32}{space 2} .0418077{col 43}{space 1}   12.91{col 52}{space 3}0.000{col 60}{space 4} .4576332{col 73}{space 3} .6215165
{txt}{space 16}t8 {c |}{col 20}{res}{space 2} .5897249{col 32}{space 2} .0388021{col 43}{space 1}   15.20{col 52}{space 3}0.000{col 60}{space 4} .5136742{col 73}{space 3} .6657755
{txt}{space 16}t9 {c |}{col 20}{res}{space 2} .1381282{col 32}{space 2} .0388194{col 43}{space 1}    3.56{col 52}{space 3}0.000{col 60}{space 4} .0620436{col 73}{space 3} .2142127
{txt}{space 15}t10 {c |}{col 20}{res}{space 2} .1481219{col 32}{space 2} .0385155{col 43}{space 1}    3.85{col 52}{space 3}0.000{col 60}{space 4}  .072633{col 73}{space 3} .2236108
{txt}{space 15}t11 {c |}{col 20}{res}{space 2} .1555588{col 32}{space 2} .0372754{col 43}{space 1}    4.17{col 52}{space 3}0.000{col 60}{space 4} .0825003{col 73}{space 3} .2286173
{txt}{space 15}t12 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 13}_cons {c |}{col 20}{res}{space 2} 5.436107{col 32}{space 2} .3227429{col 43}{space 1}   16.84{col 52}{space 3}0.000{col 60}{space 4} 4.803542{col 73}{space 3} 6.068671
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          /lnalpha {c |}{col 20}{res}{space 2}-2.677209{col 32}{space 2}  .065041{col 60}{space 4}-2.804687{col 73}{space 3}-2.549731
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             alpha {c |}{col 20}{res}{space 2} .0687548{col 32}{space 2} .0044719{col 60}{space 4} .0605257{col 73}{space 3} .0781027
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}1296.52{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. 
. *Pooled (clustered se's) model
. nbreg dr_1_at_2_m L_total_exposure_2  Lcid_per_trop_2_m Llog_trade_m  Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Llog_distance_m  t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12, cluster(cowcode_2)
{txt}note: t12 omitted because of collinearity

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4885.0656}  
Iteration 1:{space 3}log pseudolikelihood = {res: -4884.952}  
Iteration 2:{space 3}log pseudolikelihood = {res: -4884.952}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5193.1925}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5023.6054}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4998.2503}  
Iteration 3:{space 3}log pseudolikelihood = {res: -4998.226}  
Iteration 4:{space 3}log pseudolikelihood = {res: -4998.226}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4620.3896}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4388.4302}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4385.2058}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4254.1861}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4237.6733}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4236.6932}  
Iteration 6:{space 3}log pseudolikelihood = {res:-4236.6919}  
Iteration 7:{space 3}log pseudolikelihood = {res:-4236.6919}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,072
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   1249.35
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-4236.6919{txt}{col 49}Pseudo R2{col 67}= {res}    0.1524

{txt}{ralign 84:(Std. Err. adjusted for {res:153} clusters in cowcode_2)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}       dr_1_at_2_m{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
L_total_exposure_2 {c |}{col 20}{res}{space 2} -.131704{col 32}{space 2} .0669624{col 43}{space 1}   -1.97{col 52}{space 3}0.049{col 60}{space 4}-.2629479{col 73}{space 3}  -.00046
{txt}{space 1}Lcid_per_trop_2_m {c |}{col 20}{res}{space 2} .2124047{col 32}{space 2} .0782481{col 43}{space 1}    2.71{col 52}{space 3}0.007{col 60}{space 4} .0590414{col 73}{space 3} .3657681
{txt}{space 6}Llog_trade_m {c |}{col 20}{res}{space 2}  .000867{col 32}{space 2} .0000948{col 43}{space 1}    9.15{col 52}{space 3}0.000{col 60}{space 4} .0006812{col 73}{space 3} .0010527
{txt}{space 4}Llog_gdppc_2_m {c |}{col 20}{res}{space 2} .0561954{col 32}{space 2} .0267924{col 43}{space 1}    2.10{col 52}{space 3}0.036{col 60}{space 4} .0036832{col 73}{space 3} .1087076
{txt}{space 6}Lln_cinc_2_m {c |}{col 20}{res}{space 2} .1457098{col 32}{space 2} .0174991{col 43}{space 1}    8.33{col 52}{space 3}0.000{col 60}{space 4} .1114121{col 73}{space 3} .1800075
{txt}{space 4}Ldemocracy_2_m {c |}{col 20}{res}{space 2}-.0906602{col 32}{space 2} .0366219{col 43}{space 1}   -2.48{col 52}{space 3}0.013{col 60}{space 4}-.1624378{col 73}{space 3}-.0188827
{txt}{space 3}Llog_distance_m {c |}{col 20}{res}{space 2}-.2963675{col 32}{space 2} .0714663{col 43}{space 1}   -4.15{col 52}{space 3}0.000{col 60}{space 4} -.436439{col 73}{space 3}-.1562961
{txt}{space 16}t2 {c |}{col 20}{res}{space 2} .2793335{col 32}{space 2} .1189315{col 43}{space 1}    2.35{col 52}{space 3}0.019{col 60}{space 4} .0462321{col 73}{space 3} .5124349
{txt}{space 16}t3 {c |}{col 20}{res}{space 2} .4274236{col 32}{space 2} .0846757{col 43}{space 1}    5.05{col 52}{space 3}0.000{col 60}{space 4} .2614623{col 73}{space 3} .5933849
{txt}{space 16}t4 {c |}{col 20}{res}{space 2} .4610495{col 32}{space 2} .0758945{col 43}{space 1}    6.07{col 52}{space 3}0.000{col 60}{space 4}  .312299{col 73}{space 3}    .6098
{txt}{space 16}t5 {c |}{col 20}{res}{space 2}    .3782{col 32}{space 2} .0658179{col 43}{space 1}    5.75{col 52}{space 3}0.000{col 60}{space 4} .2491992{col 73}{space 3} .5072008
{txt}{space 16}t6 {c |}{col 20}{res}{space 2}  .290143{col 32}{space 2} .0569148{col 43}{space 1}    5.10{col 52}{space 3}0.000{col 60}{space 4}  .178592{col 73}{space 3}  .401694
{txt}{space 16}t7 {c |}{col 20}{res}{space 2} .5395748{col 32}{space 2} .0489362{col 43}{space 1}   11.03{col 52}{space 3}0.000{col 60}{space 4} .4436616{col 73}{space 3} .6354881
{txt}{space 16}t8 {c |}{col 20}{res}{space 2} .5897249{col 32}{space 2}  .042438{col 43}{space 1}   13.90{col 52}{space 3}0.000{col 60}{space 4}  .506548{col 73}{space 3} .6729018
{txt}{space 16}t9 {c |}{col 20}{res}{space 2} .1381282{col 32}{space 2} .0258392{col 43}{space 1}    5.35{col 52}{space 3}0.000{col 60}{space 4} .0874843{col 73}{space 3} .1887721
{txt}{space 15}t10 {c |}{col 20}{res}{space 2} .1481219{col 32}{space 2}  .024422{col 43}{space 1}    6.07{col 52}{space 3}0.000{col 60}{space 4} .1002557{col 73}{space 3} .1959881
{txt}{space 15}t11 {c |}{col 20}{res}{space 2} .1555588{col 32}{space 2} .0206525{col 43}{space 1}    7.53{col 52}{space 3}0.000{col 60}{space 4} .1150806{col 73}{space 3}  .196037
{txt}{space 15}t12 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 13}_cons {c |}{col 20}{res}{space 2} 5.436107{col 32}{space 2} .6015752{col 43}{space 1}    9.04{col 52}{space 3}0.000{col 60}{space 4} 4.257041{col 73}{space 3} 6.615173
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          /lnalpha {c |}{col 20}{res}{space 2}-2.677209{col 32}{space 2}  .152906{col 60}{space 4}-2.976899{col 73}{space 3}-2.377519
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             alpha {c |}{col 20}{res}{space 2} .0687548{col 32}{space 2}  .010513{col 60}{space 4} .0509506{col 73}{space 3} .0927805
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Fixed effects model
. xtnbreg dr_1_at_2_m L_total_exposure_2  Llog_trade_m Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m  t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12, fe
{txt}note: 19 groups (19 obs) dropped because of only one obs per group
note: t12 omitted because of collinearity
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -3284.266}  
Iteration 1:{space 3}log likelihood = {res:-3276.2488}  
Iteration 2:{space 3}log likelihood = {res:-3276.2345}  
Iteration 3:{space 3}log likelihood = {res:-3276.2345}  
{res}
{txt}Conditional FE negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}     1,066
{txt}Group variable: {res}cowcode_2{col 49}{txt}Number of groups{col 67}={col 69}{res}       136

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         2
{txt}{col 63}avg{col 67}={col 69}{res}       7.8
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}15{txt}){col 67}={col 70}{res}  1405.26
{txt}Log likelihood  = {res}-3276.2345{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       dr_1_at_2_m{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
L_total_exposure_2 {c |}{col 20}{res}{space 2}-.0934163{col 32}{space 2} .0478357{col 43}{space 1}   -1.95{col 52}{space 3}0.051{col 60}{space 4}-.1871727{col 73}{space 3}   .00034
{txt}{space 6}Llog_trade_m {c |}{col 20}{res}{space 2} .0008683{col 32}{space 2}  .000082{col 43}{space 1}   10.59{col 52}{space 3}0.000{col 60}{space 4} .0007075{col 73}{space 3} .0010291
{txt}{space 4}Llog_gdppc_2_m {c |}{col 20}{res}{space 2}-.0394916{col 32}{space 2} .0354622{col 43}{space 1}   -1.11{col 52}{space 3}0.265{col 60}{space 4}-.1089963{col 73}{space 3} .0300131
{txt}{space 6}Lln_cinc_2_m {c |}{col 20}{res}{space 2} .0658478{col 32}{space 2} .0307174{col 43}{space 1}    2.14{col 52}{space 3}0.032{col 60}{space 4} .0056428{col 73}{space 3} .1260528
{txt}{space 4}Ldemocracy_2_m {c |}{col 20}{res}{space 2}-.0443616{col 32}{space 2} .0304366{col 43}{space 1}   -1.46{col 52}{space 3}0.145{col 60}{space 4}-.1040163{col 73}{space 3}  .015293
{txt}{space 16}t2 {c |}{col 20}{res}{space 2} .2387034{col 32}{space 2} .1190777{col 43}{space 1}    2.00{col 52}{space 3}0.045{col 60}{space 4} .0053154{col 73}{space 3} .4720914
{txt}{space 16}t3 {c |}{col 20}{res}{space 2} .3091715{col 32}{space 2} .0879865{col 43}{space 1}    3.51{col 52}{space 3}0.000{col 60}{space 4} .1367211{col 73}{space 3} .4816218
{txt}{space 16}t4 {c |}{col 20}{res}{space 2} .3335946{col 32}{space 2} .0812997{col 43}{space 1}    4.10{col 52}{space 3}0.000{col 60}{space 4} .1742501{col 73}{space 3} .4929391
{txt}{space 16}t5 {c |}{col 20}{res}{space 2} .2827156{col 32}{space 2} .0685098{col 43}{space 1}    4.13{col 52}{space 3}0.000{col 60}{space 4} .1484388{col 73}{space 3} .4169924
{txt}{space 16}t6 {c |}{col 20}{res}{space 2} .2133963{col 32}{space 2} .0560691{col 43}{space 1}    3.81{col 52}{space 3}0.000{col 60}{space 4} .1035027{col 73}{space 3} .3232898
{txt}{space 16}t7 {c |}{col 20}{res}{space 2} .4552514{col 32}{space 2} .0444694{col 43}{space 1}   10.24{col 52}{space 3}0.000{col 60}{space 4} .3680929{col 73}{space 3} .5424099
{txt}{space 16}t8 {c |}{col 20}{res}{space 2} .4814525{col 32}{space 2}  .033059{col 43}{space 1}   14.56{col 52}{space 3}0.000{col 60}{space 4} .4166579{col 73}{space 3}  .546247
{txt}{space 16}t9 {c |}{col 20}{res}{space 2} .1009796{col 32}{space 2} .0341204{col 43}{space 1}    2.96{col 52}{space 3}0.003{col 60}{space 4} .0341047{col 73}{space 3} .1678544
{txt}{space 15}t10 {c |}{col 20}{res}{space 2} .1080034{col 32}{space 2} .0332059{col 43}{space 1}    3.25{col 52}{space 3}0.001{col 60}{space 4} .0429209{col 73}{space 3} .1730858
{txt}{space 15}t11 {c |}{col 20}{res}{space 2} .1216599{col 32}{space 2} .0295762{col 43}{space 1}    4.11{col 52}{space 3}0.000{col 60}{space 4} .0636916{col 73}{space 3} .1796282
{txt}{space 15}t12 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 13}_cons {c |}{col 20}{res}{space 2} 3.252743{col 32}{space 2}  .336108{col 43}{space 1}    9.68{col 52}{space 3}0.000{col 60}{space 4} 2.593983{col 73}{space 3} 3.911503
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Random effects model
. xtnbreg dr_1_at_2_m L_total_exposure_2 Lcid_per_trop_2_m Llog_trade_m Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Llog_distance_m  t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12, i(cowcode_2) 
{txt}note: t12 omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4885.0656}  
Iteration 1:{space 3}log likelihood = {res: -4884.952}  
Iteration 2:{space 3}log likelihood = {res: -4884.952}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-8040.7755}  
Iteration 1:{space 3}log likelihood = {res:-6033.6555}  
Iteration 2:{space 3}log likelihood = {res:-5807.0194}  
Iteration 3:{space 3}log likelihood = {res:-5001.0743}  
Iteration 4:{space 3}log likelihood = {res:-4998.2286}  
Iteration 5:{space 3}log likelihood = {res: -4998.226}  
Iteration 6:{space 3}log likelihood = {res: -4998.226}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -4998.226}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-4699.5446}  
Iteration 2:{space 3}log likelihood = {res:-4240.4189}  
Iteration 3:{space 3}log likelihood = {res:-4194.6637}  
Iteration 4:{space 3}log likelihood = {res:-4189.0776}  
Iteration 5:{space 3}log likelihood = {res:-4189.0571}  
Iteration 6:{space 3}log likelihood = {res:-4189.0571}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4261.7831}  
Iteration 1:{space 3}log likelihood = {res:-4095.8294}  
Iteration 2:{space 3}log likelihood = {res:-4090.8572}  
Iteration 3:{space 3}log likelihood = {res:-4065.8002}  
Iteration 4:{space 3}log likelihood = {res:-4054.4749}  
Iteration 5:{space 3}log likelihood = {res:-4054.0966}  
Iteration 6:{space 3}log likelihood = {res:-4054.0963}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}     1,072
{txt}Group variable: {res}cowcode_2{col 49}{txt}Number of groups{col 67}={col 69}{res}       153

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       7.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}17{txt}){col 67}={col 70}{res}  2298.47
{txt}Log likelihood  = {res}-4054.0963{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       dr_1_at_2_m{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
L_total_exposure_2 {c |}{col 20}{res}{space 2}-.1081125{col 32}{space 2} .0432494{col 43}{space 1}   -2.50{col 52}{space 3}0.012{col 60}{space 4}-.1928797{col 73}{space 3}-.0233454
{txt}{space 1}Lcid_per_trop_2_m {c |}{col 20}{res}{space 2} .2519595{col 32}{space 2} .0574693{col 43}{space 1}    4.38{col 52}{space 3}0.000{col 60}{space 4} .1393217{col 73}{space 3} .3645973
{txt}{space 6}Llog_trade_m {c |}{col 20}{res}{space 2} .0009188{col 32}{space 2} .0000614{col 43}{space 1}   14.97{col 52}{space 3}0.000{col 60}{space 4} .0007985{col 73}{space 3} .0010391
{txt}{space 4}Llog_gdppc_2_m {c |}{col 20}{res}{space 2} .0262363{col 32}{space 2} .0241567{col 43}{space 1}    1.09{col 52}{space 3}0.277{col 60}{space 4}  -.02111{col 73}{space 3} .0735825
{txt}{space 6}Lln_cinc_2_m {c |}{col 20}{res}{space 2} .1556796{col 32}{space 2} .0139776{col 43}{space 1}   11.14{col 52}{space 3}0.000{col 60}{space 4}  .128284{col 73}{space 3} .1830752
{txt}{space 4}Ldemocracy_2_m {c |}{col 20}{res}{space 2}-.0520012{col 32}{space 2}   .02741{col 43}{space 1}   -1.90{col 52}{space 3}0.058{col 60}{space 4}-.1057238{col 73}{space 3} .0017214
{txt}{space 3}Llog_distance_m {c |}{col 20}{res}{space 2}-.3716047{col 32}{space 2} .0596324{col 43}{space 1}   -6.23{col 52}{space 3}0.000{col 60}{space 4}-.4884822{col 73}{space 3}-.2547273
{txt}{space 16}t2 {c |}{col 20}{res}{space 2} .3509934{col 32}{space 2} .1022683{col 43}{space 1}    3.43{col 52}{space 3}0.001{col 60}{space 4} .1505512{col 73}{space 3} .5514357
{txt}{space 16}t3 {c |}{col 20}{res}{space 2} .4212534{col 32}{space 2} .0694935{col 43}{space 1}    6.06{col 52}{space 3}0.000{col 60}{space 4} .2850486{col 73}{space 3} .5574581
{txt}{space 16}t4 {c |}{col 20}{res}{space 2} .4394661{col 32}{space 2} .0638911{col 43}{space 1}    6.88{col 52}{space 3}0.000{col 60}{space 4}  .314242{col 73}{space 3} .5646903
{txt}{space 16}t5 {c |}{col 20}{res}{space 2} .3677031{col 32}{space 2} .0528096{col 43}{space 1}    6.96{col 52}{space 3}0.000{col 60}{space 4} .2641982{col 73}{space 3}  .471208
{txt}{space 16}t6 {c |}{col 20}{res}{space 2} .2933466{col 32}{space 2} .0429837{col 43}{space 1}    6.82{col 52}{space 3}0.000{col 60}{space 4} .2091001{col 73}{space 3}  .377593
{txt}{space 16}t7 {c |}{col 20}{res}{space 2} .5190651{col 32}{space 2} .0362919{col 43}{space 1}   14.30{col 52}{space 3}0.000{col 60}{space 4} .4479343{col 73}{space 3}  .590196
{txt}{space 16}t8 {c |}{col 20}{res}{space 2} .5216784{col 32}{space 2} .0294567{col 43}{space 1}   17.71{col 52}{space 3}0.000{col 60}{space 4} .4639443{col 73}{space 3} .5794124
{txt}{space 16}t9 {c |}{col 20}{res}{space 2} .1504955{col 32}{space 2}  .030363{col 43}{space 1}    4.96{col 52}{space 3}0.000{col 60}{space 4}  .090985{col 73}{space 3}  .210006
{txt}{space 15}t10 {c |}{col 20}{res}{space 2} .1610729{col 32}{space 2} .0299763{col 43}{space 1}    5.37{col 52}{space 3}0.000{col 60}{space 4} .1023205{col 73}{space 3} .2198253
{txt}{space 15}t11 {c |}{col 20}{res}{space 2} .1670304{col 32}{space 2}  .027578{col 43}{space 1}    6.06{col 52}{space 3}0.000{col 60}{space 4} .1129786{col 73}{space 3} .2210823
{txt}{space 15}t12 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 13}_cons {c |}{col 20}{res}{space 2} 6.092227{col 32}{space 2} .5428025{col 43}{space 1}   11.22{col 52}{space 3}0.000{col 60}{space 4} 5.028354{col 73}{space 3} 7.156101
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             /ln_r {c |}{col 20}{res}{space 2} 3.708879{col 32}{space 2} .1594183{col 60}{space 4} 3.396425{col 73}{space 3} 4.021333
{txt}             /ln_s {c |}{col 20}{res}{space 2} 3.847529{col 32}{space 2} .1769739{col 60}{space 4} 3.500667{col 73}{space 3} 4.194391
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 r {c |}{col 20}{res}{space 2} 40.80802{col 32}{space 2} 6.505544{col 60}{space 4} 29.85716{col 73}{space 3} 55.77539
{txt}                 s {c |}{col 20}{res}{space 2} 46.87709{col 32}{space 2}  8.29602{col 60}{space 4} 33.13753{col 73}{space 3} 66.31336
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}269.92{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. 
. 
. *******************************************************************************************
. **Table A.21: Determinants of Directed Diplomatic Representation, Expanded Control Models**
. *******************************************************************************************
. 
. *Pooled model
. nbreg dr_1_at_2_m Lmalaria_interp_2_m Lcid_per_trop_2_m Llog_trade_m  Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Llog_distance_m Linternal_conf_2_m Lexternal_conf_2_m  Lln_irst_2_m Lln_milex_2_m Lln_milper_2_m Lln_pec_2_m Lln_upop_2_m entryy_2_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12
{txt}note: t12 omitted because of collinearity

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4721.6186}  
Iteration 1:{space 3}log likelihood = {res:-4720.6403}  
Iteration 2:{space 3}log likelihood = {res:-4720.6403}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-5141.5832}  
Iteration 1:{space 3}log likelihood = {res:-4968.9977}  
Iteration 2:{space 3}log likelihood = {res:-4941.0748}  
Iteration 3:{space 3}log likelihood = {res:-4941.0553}  
Iteration 4:{space 3}log likelihood = {res:-4941.0553}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4558.9951}  
Iteration 1:{space 3}log likelihood = {res:-4369.3223}  
Iteration 2:{space 3}log likelihood = {res:-4191.9458}  
Iteration 3:{space 3}log likelihood = {res:-4153.0889}  
Iteration 4:{space 3}log likelihood = {res:-4149.8433}  
Iteration 5:{space 3}log likelihood = {res:-4149.8371}  
Iteration 6:{space 3}log likelihood = {res:-4149.8371}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,060
{txt}{col 49}LR chi2({res}25{txt}){col 67}= {res}   1582.44
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4149.8371{txt}{col 49}Pseudo R2{col 67}= {res}    0.1601

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        dr_1_at_2_m{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Lmalaria_interp_2_m {c |}{col 21}{res}{space 2}-.1550446{col 33}{space 2} .0391906{col 44}{space 1}   -3.96{col 53}{space 3}0.000{col 61}{space 4}-.2318567{col 74}{space 3}-.0782325
{txt}{space 2}Lcid_per_trop_2_m {c |}{col 21}{res}{space 2} .1956675{col 33}{space 2} .0363393{col 44}{space 1}    5.38{col 53}{space 3}0.000{col 61}{space 4} .1244437{col 74}{space 3} .2668913
{txt}{space 7}Llog_trade_m {c |}{col 21}{res}{space 2} .0008791{col 33}{space 2} .0000574{col 44}{space 1}   15.33{col 53}{space 3}0.000{col 61}{space 4} .0007667{col 74}{space 3} .0009915
{txt}{space 5}Llog_gdppc_2_m {c |}{col 21}{res}{space 2} .0627542{col 33}{space 2} .0196716{col 44}{space 1}    3.19{col 53}{space 3}0.001{col 61}{space 4} .0241987{col 74}{space 3} .1013098
{txt}{space 7}Lln_cinc_2_m {c |}{col 21}{res}{space 2} .0433896{col 33}{space 2} .0282557{col 44}{space 1}    1.54{col 53}{space 3}0.125{col 61}{space 4}-.0119905{col 74}{space 3} .0987697
{txt}{space 5}Ldemocracy_2_m {c |}{col 21}{res}{space 2}-.0936951{col 33}{space 2} .0257959{col 44}{space 1}   -3.63{col 53}{space 3}0.000{col 61}{space 4}-.1442542{col 74}{space 3} -.043136
{txt}{space 4}Llog_distance_m {c |}{col 21}{res}{space 2}-.3114444{col 33}{space 2} .0355486{col 44}{space 1}   -8.76{col 53}{space 3}0.000{col 61}{space 4}-.3811184{col 74}{space 3}-.2417704
{txt}{space 1}Linternal_conf_2_m {c |}{col 21}{res}{space 2}-.0265378{col 33}{space 2}  .031627{col 44}{space 1}   -0.84{col 53}{space 3}0.401{col 61}{space 4}-.0885257{col 74}{space 3}   .03545
{txt}{space 1}Lexternal_conf_2_m {c |}{col 21}{res}{space 2}-.1153139{col 33}{space 2} .0568542{col 44}{space 1}   -2.03{col 53}{space 3}0.043{col 61}{space 4} -.226746{col 74}{space 3}-.0038818
{txt}{space 7}Lln_irst_2_m {c |}{col 21}{res}{space 2}-.0188349{col 33}{space 2} .0053675{col 44}{space 1}   -3.51{col 53}{space 3}0.000{col 61}{space 4}-.0293551{col 74}{space 3}-.0083147
{txt}{space 6}Lln_milex_2_m {c |}{col 21}{res}{space 2}-.0047864{col 33}{space 2} .0090164{col 44}{space 1}   -0.53{col 53}{space 3}0.596{col 61}{space 4}-.0224583{col 74}{space 3} .0128855
{txt}{space 5}Lln_milper_2_m {c |}{col 21}{res}{space 2} .0649762{col 33}{space 2} .0164048{col 44}{space 1}    3.96{col 53}{space 3}0.000{col 61}{space 4} .0328233{col 74}{space 3} .0971291
{txt}{space 8}Lln_pec_2_m {c |}{col 21}{res}{space 2} .0114869{col 33}{space 2} .0098708{col 44}{space 1}    1.16{col 53}{space 3}0.245{col 61}{space 4}-.0078594{col 74}{space 3} .0308333
{txt}{space 7}Lln_upop_2_m {c |}{col 21}{res}{space 2} .0506218{col 33}{space 2} .0087127{col 44}{space 1}    5.81{col 53}{space 3}0.000{col 61}{space 4} .0335453{col 74}{space 3} .0676984
{txt}{space 9}entryy_2_m {c |}{col 21}{res}{space 2}  .063652{col 33}{space 2} .0192419{col 44}{space 1}    3.31{col 53}{space 3}0.001{col 61}{space 4} .0259386{col 74}{space 3} .1013654
{txt}{space 17}t2 {c |}{col 21}{res}{space 2} .3724996{col 33}{space 2} .1179001{col 44}{space 1}    3.16{col 53}{space 3}0.002{col 61}{space 4} .1414195{col 74}{space 3} .6035796
{txt}{space 17}t3 {c |}{col 21}{res}{space 2} .5091218{col 33}{space 2} .0854788{col 44}{space 1}    5.96{col 53}{space 3}0.000{col 61}{space 4} .3415864{col 74}{space 3} .6766571
{txt}{space 17}t4 {c |}{col 21}{res}{space 2}  .490633{col 33}{space 2} .0767306{col 44}{space 1}    6.39{col 53}{space 3}0.000{col 61}{space 4} .3402439{col 74}{space 3} .6410222
{txt}{space 17}t5 {c |}{col 21}{res}{space 2} .4231403{col 33}{space 2} .0659385{col 44}{space 1}    6.42{col 53}{space 3}0.000{col 61}{space 4} .2939033{col 74}{space 3} .5523774
{txt}{space 17}t6 {c |}{col 21}{res}{space 2} .3296229{col 33}{space 2} .0541997{col 44}{space 1}    6.08{col 53}{space 3}0.000{col 61}{space 4} .2233934{col 74}{space 3} .4358524
{txt}{space 17}t7 {c |}{col 21}{res}{space 2} .5576197{col 33}{space 2} .0448528{col 44}{space 1}   12.43{col 53}{space 3}0.000{col 61}{space 4} .4697099{col 74}{space 3} .6455295
{txt}{space 17}t8 {c |}{col 21}{res}{space 2} .5944466{col 33}{space 2} .0393148{col 44}{space 1}   15.12{col 53}{space 3}0.000{col 61}{space 4} .5173911{col 74}{space 3} .6715022
{txt}{space 17}t9 {c |}{col 21}{res}{space 2} .1380281{col 33}{space 2} .0381779{col 44}{space 1}    3.62{col 53}{space 3}0.000{col 61}{space 4} .0632008{col 74}{space 3} .2128553
{txt}{space 16}t10 {c |}{col 21}{res}{space 2} .1366878{col 33}{space 2} .0375523{col 44}{space 1}    3.64{col 53}{space 3}0.000{col 61}{space 4} .0630866{col 74}{space 3} .2102891
{txt}{space 16}t11 {c |}{col 21}{res}{space 2} .1572006{col 33}{space 2} .0359538{col 44}{space 1}    4.37{col 53}{space 3}0.000{col 61}{space 4} .0867324{col 74}{space 3} .2276688
{txt}{space 16}t12 {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (omitted)
{space 14}_cons {c |}{col 21}{res}{space 2} 3.985734{col 33}{space 2} .4571092{col 44}{space 1}    8.72{col 53}{space 3}0.000{col 61}{space 4} 3.089816{col 74}{space 3} 4.881652
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnalpha {c |}{col 21}{res}{space 2} -2.80099{col 33}{space 2}  .067203{col 61}{space 4}-2.932706{col 74}{space 3}-2.669275
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              alpha {c |}{col 21}{res}{space 2} .0607499{col 33}{space 2} .0040826{col 61}{space 4} .0532528{col 74}{space 3} .0693025
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}1141.61{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. 
. * Pooled (clustered se's) model
. nbreg dr_1_at_2_m Lmalaria_interp_2_m Lcid_per_trop_2_m Llog_trade_m  Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Llog_distance_m Linternal_conf_2_m Lexternal_conf_2_m  Lln_irst_2_m Lln_milex_2_m Lln_milper_2_m Lln_pec_2_m Lln_upop_2_m entryy_2_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12, cluster(cowcode_2)
{txt}note: t12 omitted because of collinearity

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4721.6186}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4720.6403}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4720.6403}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5141.5832}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4968.9977}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4941.0748}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4941.0553}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4941.0553}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4558.9951}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4369.3223}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4191.9458}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4153.0889}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4149.8433}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4149.8371}  
Iteration 6:{space 3}log pseudolikelihood = {res:-4149.8371}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,060
{txt}{col 49}Wald chi2({res}25{txt}){col 67}= {res}   1656.65
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-4149.8371{txt}{col 49}Pseudo R2{col 67}= {res}    0.1601

{txt}{ralign 85:(Std. Err. adjusted for {res:152} clusters in cowcode_2)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}        dr_1_at_2_m{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Lmalaria_interp_2_m {c |}{col 21}{res}{space 2}-.1550446{col 33}{space 2} .0637298{col 44}{space 1}   -2.43{col 53}{space 3}0.015{col 61}{space 4}-.2799528{col 74}{space 3}-.0301364
{txt}{space 2}Lcid_per_trop_2_m {c |}{col 21}{res}{space 2} .1956675{col 33}{space 2} .0646077{col 44}{space 1}    3.03{col 53}{space 3}0.002{col 61}{space 4} .0690388{col 74}{space 3} .3222963
{txt}{space 7}Llog_trade_m {c |}{col 21}{res}{space 2} .0008791{col 33}{space 2} .0000939{col 44}{space 1}    9.36{col 53}{space 3}0.000{col 61}{space 4}  .000695{col 74}{space 3} .0010631
{txt}{space 5}Llog_gdppc_2_m {c |}{col 21}{res}{space 2} .0627542{col 33}{space 2}  .034044{col 44}{space 1}    1.84{col 53}{space 3}0.065{col 61}{space 4}-.0039707{col 74}{space 3} .1294792
{txt}{space 7}Lln_cinc_2_m {c |}{col 21}{res}{space 2} .0433896{col 33}{space 2} .0489064{col 44}{space 1}    0.89{col 53}{space 3}0.375{col 61}{space 4}-.0524651{col 74}{space 3} .1392443
{txt}{space 5}Ldemocracy_2_m {c |}{col 21}{res}{space 2}-.0936951{col 33}{space 2} .0360512{col 44}{space 1}   -2.60{col 53}{space 3}0.009{col 61}{space 4}-.1643542{col 74}{space 3}-.0230361
{txt}{space 4}Llog_distance_m {c |}{col 21}{res}{space 2}-.3114444{col 33}{space 2} .0640798{col 44}{space 1}   -4.86{col 53}{space 3}0.000{col 61}{space 4}-.4370385{col 74}{space 3}-.1858502
{txt}{space 1}Linternal_conf_2_m {c |}{col 21}{res}{space 2}-.0265378{col 33}{space 2}  .055753{col 44}{space 1}   -0.48{col 53}{space 3}0.634{col 61}{space 4}-.1358117{col 74}{space 3} .0827361
{txt}{space 1}Lexternal_conf_2_m {c |}{col 21}{res}{space 2}-.1153139{col 33}{space 2} .0590541{col 44}{space 1}   -1.95{col 53}{space 3}0.051{col 61}{space 4}-.2310579{col 74}{space 3} .0004301
{txt}{space 7}Lln_irst_2_m {c |}{col 21}{res}{space 2}-.0188349{col 33}{space 2} .0084873{col 44}{space 1}   -2.22{col 53}{space 3}0.026{col 61}{space 4}-.0354698{col 74}{space 3}   -.0022
{txt}{space 6}Lln_milex_2_m {c |}{col 21}{res}{space 2}-.0047864{col 33}{space 2} .0128287{col 44}{space 1}   -0.37{col 53}{space 3}0.709{col 61}{space 4}-.0299303{col 74}{space 3} .0203574
{txt}{space 5}Lln_milper_2_m {c |}{col 21}{res}{space 2} .0649762{col 33}{space 2} .0310224{col 44}{space 1}    2.09{col 53}{space 3}0.036{col 61}{space 4} .0041733{col 74}{space 3}  .125779
{txt}{space 8}Lln_pec_2_m {c |}{col 21}{res}{space 2} .0114869{col 33}{space 2} .0131412{col 44}{space 1}    0.87{col 53}{space 3}0.382{col 61}{space 4}-.0142694{col 74}{space 3} .0372433
{txt}{space 7}Lln_upop_2_m {c |}{col 21}{res}{space 2} .0506218{col 33}{space 2}  .016482{col 44}{space 1}    3.07{col 53}{space 3}0.002{col 61}{space 4} .0183177{col 74}{space 3}  .082926
{txt}{space 9}entryy_2_m {c |}{col 21}{res}{space 2}  .063652{col 33}{space 2} .0281776{col 44}{space 1}    2.26{col 53}{space 3}0.024{col 61}{space 4} .0084249{col 74}{space 3} .1188792
{txt}{space 17}t2 {c |}{col 21}{res}{space 2} .3724996{col 33}{space 2} .1462132{col 44}{space 1}    2.55{col 53}{space 3}0.011{col 61}{space 4} .0859269{col 74}{space 3} .6590722
{txt}{space 17}t3 {c |}{col 21}{res}{space 2} .5091218{col 33}{space 2} .1181212{col 44}{space 1}    4.31{col 53}{space 3}0.000{col 61}{space 4} .2776086{col 74}{space 3}  .740635
{txt}{space 17}t4 {c |}{col 21}{res}{space 2}  .490633{col 33}{space 2} .1073578{col 44}{space 1}    4.57{col 53}{space 3}0.000{col 61}{space 4} .2802157{col 74}{space 3} .7010504
{txt}{space 17}t5 {c |}{col 21}{res}{space 2} .4231403{col 33}{space 2} .0917725{col 44}{space 1}    4.61{col 53}{space 3}0.000{col 61}{space 4} .2432695{col 74}{space 3} .6030111
{txt}{space 17}t6 {c |}{col 21}{res}{space 2} .3296229{col 33}{space 2} .0770998{col 44}{space 1}    4.28{col 53}{space 3}0.000{col 61}{space 4}   .17851{col 74}{space 3} .4807358
{txt}{space 17}t7 {c |}{col 21}{res}{space 2} .5576197{col 33}{space 2} .0547491{col 44}{space 1}   10.19{col 53}{space 3}0.000{col 61}{space 4} .4503135{col 74}{space 3}  .664926
{txt}{space 17}t8 {c |}{col 21}{res}{space 2} .5944466{col 33}{space 2} .0418878{col 44}{space 1}   14.19{col 53}{space 3}0.000{col 61}{space 4}  .512348{col 74}{space 3} .6765452
{txt}{space 17}t9 {c |}{col 21}{res}{space 2} .1380281{col 33}{space 2} .0283268{col 44}{space 1}    4.87{col 53}{space 3}0.000{col 61}{space 4} .0825085{col 74}{space 3} .1935477
{txt}{space 16}t10 {c |}{col 21}{res}{space 2} .1366878{col 33}{space 2} .0265969{col 44}{space 1}    5.14{col 53}{space 3}0.000{col 61}{space 4} .0845588{col 74}{space 3} .1888169
{txt}{space 16}t11 {c |}{col 21}{res}{space 2} .1572006{col 33}{space 2} .0205407{col 44}{space 1}    7.65{col 53}{space 3}0.000{col 61}{space 4} .1169415{col 74}{space 3} .1974597
{txt}{space 16}t12 {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (omitted)
{space 14}_cons {c |}{col 21}{res}{space 2} 3.985734{col 33}{space 2} .8331377{col 44}{space 1}    4.78{col 53}{space 3}0.000{col 61}{space 4} 2.352814{col 74}{space 3} 5.618654
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnalpha {c |}{col 21}{res}{space 2} -2.80099{col 33}{space 2}  .154188{col 61}{space 4}-3.103193{col 74}{space 3}-2.498787
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              alpha {c |}{col 21}{res}{space 2} .0607499{col 33}{space 2} .0093669{col 61}{space 4} .0449056{col 74}{space 3} .0821846
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Fixed effects model
. xtnbreg dr_1_at_2_m Lmalaria_interp_2_m Llog_trade_m Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Linternal_conf_2_m Lexternal_conf_2_m  Lln_irst_2_m Lln_milex_2_m Lln_milper_2_m Lln_pec_2_m Lln_upop_2_m entryy_2_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12, fe
{txt}note: 19 groups (19 obs) dropped because of only one obs per group
note: t12 omitted because of collinearity
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3261.9861}  
Iteration 1:{space 3}log likelihood = {res:-3235.3582}  
Iteration 2:{space 3}log likelihood = {res:-3234.1995}  
Iteration 3:{space 3}log likelihood = {res:-3234.1903}  
Iteration 4:{space 3}log likelihood = {res:-3234.1903}  
{res}
{txt}Conditional FE negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}     1,054
{txt}Group variable: {res}cowcode_2{col 49}{txt}Number of groups{col 67}={col 69}{res}       135

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         2
{txt}{col 63}avg{col 67}={col 69}{res}       7.8
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}23{txt}){col 67}={col 70}{res}  1452.74
{txt}Log likelihood  = {res}-3234.1903{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        dr_1_at_2_m{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Lmalaria_interp_2_m {c |}{col 21}{res}{space 2}-.0756588{col 33}{space 2} .0470839{col 44}{space 1}   -1.61{col 53}{space 3}0.108{col 61}{space 4}-.1679416{col 74}{space 3}  .016624
{txt}{space 7}Llog_trade_m {c |}{col 21}{res}{space 2} .0008792{col 33}{space 2} .0000859{col 44}{space 1}   10.23{col 53}{space 3}0.000{col 61}{space 4} .0007108{col 74}{space 3} .0010476
{txt}{space 5}Llog_gdppc_2_m {c |}{col 21}{res}{space 2}-.0317021{col 33}{space 2} .0365624{col 44}{space 1}   -0.87{col 53}{space 3}0.386{col 61}{space 4}-.1033631{col 74}{space 3} .0399589
{txt}{space 7}Lln_cinc_2_m {c |}{col 21}{res}{space 2}-.0190067{col 33}{space 2} .0521657{col 44}{space 1}   -0.36{col 53}{space 3}0.716{col 61}{space 4}-.1212497{col 74}{space 3} .0832362
{txt}{space 5}Ldemocracy_2_m {c |}{col 21}{res}{space 2}-.0484792{col 33}{space 2} .0302337{col 44}{space 1}   -1.60{col 53}{space 3}0.109{col 61}{space 4}-.1077361{col 74}{space 3} .0107777
{txt}{space 1}Linternal_conf_2_m {c |}{col 21}{res}{space 2}-.1176084{col 33}{space 2} .0338042{col 44}{space 1}   -3.48{col 53}{space 3}0.001{col 61}{space 4}-.1838634{col 74}{space 3}-.0513534
{txt}{space 1}Lexternal_conf_2_m {c |}{col 21}{res}{space 2}-.0006447{col 33}{space 2} .0452858{col 44}{space 1}   -0.01{col 53}{space 3}0.989{col 61}{space 4}-.0894032{col 74}{space 3} .0881139
{txt}{space 7}Lln_irst_2_m {c |}{col 21}{res}{space 2} .0164207{col 33}{space 2} .0068861{col 44}{space 1}    2.38{col 53}{space 3}0.017{col 61}{space 4} .0029242{col 74}{space 3} .0299172
{txt}{space 6}Lln_milex_2_m {c |}{col 21}{res}{space 2}-.0110822{col 33}{space 2} .0131214{col 44}{space 1}   -0.84{col 53}{space 3}0.398{col 61}{space 4}-.0367998{col 74}{space 3} .0146353
{txt}{space 5}Lln_milper_2_m {c |}{col 21}{res}{space 2} .0436732{col 33}{space 2} .0225047{col 44}{space 1}    1.94{col 53}{space 3}0.052{col 61}{space 4}-.0004351{col 74}{space 3} .0877815
{txt}{space 8}Lln_pec_2_m {c |}{col 21}{res}{space 2} .0170849{col 33}{space 2} .0111023{col 44}{space 1}    1.54{col 53}{space 3}0.124{col 61}{space 4}-.0046751{col 74}{space 3} .0388449
{txt}{space 7}Lln_upop_2_m {c |}{col 21}{res}{space 2} .0123248{col 33}{space 2} .0160836{col 44}{space 1}    0.77{col 53}{space 3}0.443{col 61}{space 4}-.0191985{col 74}{space 3} .0438481
{txt}{space 9}entryy_2_m {c |}{col 21}{res}{space 2} .0475968{col 33}{space 2}  .077923{col 44}{space 1}    0.61{col 53}{space 3}0.541{col 61}{space 4}-.1051295{col 74}{space 3} .2003231
{txt}{space 17}t2 {c |}{col 21}{res}{space 2} .3554979{col 33}{space 2} .1418469{col 44}{space 1}    2.51{col 53}{space 3}0.012{col 61}{space 4} .0774831{col 74}{space 3} .6335126
{txt}{space 17}t3 {c |}{col 21}{res}{space 2} .4254805{col 33}{space 2} .1159625{col 44}{space 1}    3.67{col 53}{space 3}0.000{col 61}{space 4} .1981982{col 74}{space 3} .6527628
{txt}{space 17}t4 {c |}{col 21}{res}{space 2} .4089808{col 33}{space 2} .1044343{col 44}{space 1}    3.92{col 53}{space 3}0.000{col 61}{space 4} .2042932{col 74}{space 3} .6136684
{txt}{space 17}t5 {c |}{col 21}{res}{space 2} .3440685{col 33}{space 2} .0894413{col 44}{space 1}    3.85{col 53}{space 3}0.000{col 61}{space 4} .1687669{col 74}{space 3} .5193701
{txt}{space 17}t6 {c |}{col 21}{res}{space 2} .2618551{col 33}{space 2} .0721374{col 44}{space 1}    3.63{col 53}{space 3}0.000{col 61}{space 4} .1204685{col 74}{space 3} .4032418
{txt}{space 17}t7 {c |}{col 21}{res}{space 2} .4755904{col 33}{space 2} .0539571{col 44}{space 1}    8.81{col 53}{space 3}0.000{col 61}{space 4} .3698363{col 74}{space 3} .5813445
{txt}{space 17}t8 {c |}{col 21}{res}{space 2} .5000321{col 33}{space 2}     .038{col 44}{space 1}   13.16{col 53}{space 3}0.000{col 61}{space 4} .4255535{col 74}{space 3} .5745106
{txt}{space 17}t9 {c |}{col 21}{res}{space 2} .1195748{col 33}{space 2} .0363247{col 44}{space 1}    3.29{col 53}{space 3}0.001{col 61}{space 4} .0483796{col 74}{space 3}   .19077
{txt}{space 16}t10 {c |}{col 21}{res}{space 2} .1169957{col 33}{space 2} .0342525{col 44}{space 1}    3.42{col 53}{space 3}0.001{col 61}{space 4}  .049862{col 74}{space 3} .1841293
{txt}{space 16}t11 {c |}{col 21}{res}{space 2} .1288513{col 33}{space 2} .0298924{col 44}{space 1}    4.31{col 53}{space 3}0.000{col 61}{space 4} .0702633{col 74}{space 3} .1874393
{txt}{space 16}t12 {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (omitted)
{space 14}_cons {c |}{col 21}{res}{space 2} 2.132001{col 33}{space 2}  .815333{col 44}{space 1}    2.61{col 53}{space 3}0.009{col 61}{space 4} .5339777{col 74}{space 3} 3.730024
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Random effects model
. xtnbreg dr_1_at_2_m Lmalaria_interp_2_m Lcid_per_trop_2_m Llog_trade_m Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Llog_distance_m Linternal_conf_2_m Lexternal_conf_2_m  Lln_irst_2_m Lln_milex_2_m Lln_milper_2_m Lln_pec_2_m Lln_upop_2_m entryy_2_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12, i(cowcode_2) 
{txt}note: t12 omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4721.6186}  
Iteration 1:{space 3}log likelihood = {res:-4720.6403}  
Iteration 2:{space 3}log likelihood = {res:-4720.6403}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-7909.9586}  
Iteration 1:{space 3}log likelihood = {res:-5835.6475}  
Iteration 2:{space 3}log likelihood = {res:-5524.5444}  
Iteration 3:{space 3}log likelihood = {res:-4944.7871}  
Iteration 4:{space 3}log likelihood = {res:-4941.0597}  
Iteration 5:{space 3}log likelihood = {res:-4941.0553}  
Iteration 6:{space 3}log likelihood = {res:-4941.0553}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4941.0553}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-4618.9226}  
Iteration 2:{space 3}log likelihood = {res:-4508.1449}  (backed up)
Iteration 3:{space 3}log likelihood = {res:-4499.6714}  (not concave)
Iteration 4:{space 3}log likelihood = {res:-4139.5588}  
Iteration 5:{space 3}log likelihood = {res:-4108.9014}  
Iteration 6:{space 3}log likelihood = {res:-4106.6967}  
Iteration 7:{space 3}log likelihood = {res:-4106.6929}  
Iteration 8:{space 3}log likelihood = {res:-4106.6929}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4228.6566}  
Iteration 1:{space 3}log likelihood = {res:-4038.6924}  
Iteration 2:{space 3}log likelihood = {res: -4023.437}  
Iteration 3:{space 3}log likelihood = {res:-4001.8612}  
Iteration 4:{space 3}log likelihood = {res:-3992.8548}  
Iteration 5:{space 3}log likelihood = {res:-3992.5571}  
Iteration 6:{space 3}log likelihood = {res: -3992.557}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}     1,060
{txt}Group variable: {res}cowcode_2{col 49}{txt}Number of groups{col 67}={col 69}{res}       152

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       7.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}25{txt}){col 67}={col 70}{res}  2394.75
{txt}Log likelihood  = {res} -3992.557{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        dr_1_at_2_m{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Lmalaria_interp_2_m {c |}{col 21}{res}{space 2}-.0965762{col 33}{space 2} .0424942{col 44}{space 1}   -2.27{col 53}{space 3}0.023{col 61}{space 4}-.1798633{col 74}{space 3}-.0132892
{txt}{space 2}Lcid_per_trop_2_m {c |}{col 21}{res}{space 2} .2452578{col 33}{space 2} .0554292{col 44}{space 1}    4.42{col 53}{space 3}0.000{col 61}{space 4} .1366187{col 74}{space 3}  .353897
{txt}{space 7}Llog_trade_m {c |}{col 21}{res}{space 2} .0009027{col 33}{space 2} .0000641{col 44}{space 1}   14.09{col 53}{space 3}0.000{col 61}{space 4} .0007771{col 74}{space 3} .0010283
{txt}{space 5}Llog_gdppc_2_m {c |}{col 21}{res}{space 2} .0298334{col 33}{space 2} .0256193{col 44}{space 1}    1.16{col 53}{space 3}0.244{col 61}{space 4}-.0203795{col 74}{space 3} .0800462
{txt}{space 7}Lln_cinc_2_m {c |}{col 21}{res}{space 2} .0178707{col 33}{space 2}  .034952{col 44}{space 1}    0.51{col 53}{space 3}0.609{col 61}{space 4}-.0506338{col 74}{space 3} .0863753
{txt}{space 5}Ldemocracy_2_m {c |}{col 21}{res}{space 2} -.064908{col 33}{space 2} .0272494{col 44}{space 1}   -2.38{col 53}{space 3}0.017{col 61}{space 4}-.1183158{col 74}{space 3}-.0115003
{txt}{space 4}Llog_distance_m {c |}{col 21}{res}{space 2}-.3971319{col 33}{space 2} .0589316{col 44}{space 1}   -6.74{col 53}{space 3}0.000{col 61}{space 4}-.5126357{col 74}{space 3}-.2816281
{txt}{space 1}Linternal_conf_2_m {c |}{col 21}{res}{space 2}-.0957505{col 33}{space 2} .0313059{col 44}{space 1}   -3.06{col 53}{space 3}0.002{col 61}{space 4}-.1571088{col 74}{space 3}-.0343921
{txt}{space 1}Lexternal_conf_2_m {c |}{col 21}{res}{space 2}-.0209117{col 33}{space 2} .0443219{col 44}{space 1}   -0.47{col 53}{space 3}0.637{col 61}{space 4}-.1077811{col 74}{space 3} .0659578
{txt}{space 7}Lln_irst_2_m {c |}{col 21}{res}{space 2} .0035788{col 33}{space 2} .0061718{col 44}{space 1}    0.58{col 53}{space 3}0.562{col 61}{space 4}-.0085177{col 74}{space 3} .0156753
{txt}{space 6}Lln_milex_2_m {c |}{col 21}{res}{space 2} .0040595{col 33}{space 2} .0115779{col 44}{space 1}    0.35{col 53}{space 3}0.726{col 61}{space 4}-.0186328{col 74}{space 3} .0267518
{txt}{space 5}Lln_milper_2_m {c |}{col 21}{res}{space 2} .0575015{col 33}{space 2} .0192028{col 44}{space 1}    2.99{col 53}{space 3}0.003{col 61}{space 4} .0198648{col 74}{space 3} .0951382
{txt}{space 8}Lln_pec_2_m {c |}{col 21}{res}{space 2} .0130231{col 33}{space 2} .0101823{col 44}{space 1}    1.28{col 53}{space 3}0.201{col 61}{space 4} -.006934{col 74}{space 3} .0329801
{txt}{space 7}Lln_upop_2_m {c |}{col 21}{res}{space 2} .0463178{col 33}{space 2} .0120776{col 44}{space 1}    3.84{col 53}{space 3}0.000{col 61}{space 4} .0226461{col 74}{space 3} .0699895
{txt}{space 9}entryy_2_m {c |}{col 21}{res}{space 2} .0915736{col 33}{space 2} .0295264{col 44}{space 1}    3.10{col 53}{space 3}0.002{col 61}{space 4}  .033703{col 74}{space 3} .1494442
{txt}{space 17}t2 {c |}{col 21}{res}{space 2} .4470936{col 33}{space 2} .1179059{col 44}{space 1}    3.79{col 53}{space 3}0.000{col 61}{space 4} .2160023{col 74}{space 3}  .678185
{txt}{space 17}t3 {c |}{col 21}{res}{space 2}  .540326{col 33}{space 2} .0924789{col 44}{space 1}    5.84{col 53}{space 3}0.000{col 61}{space 4} .3590708{col 74}{space 3} .7215812
{txt}{space 17}t4 {c |}{col 21}{res}{space 2} .5107453{col 33}{space 2} .0828471{col 44}{space 1}    6.16{col 53}{space 3}0.000{col 61}{space 4}  .348368{col 74}{space 3} .6731227
{txt}{space 17}t5 {c |}{col 21}{res}{space 2} .4331154{col 33}{space 2} .0702023{col 44}{space 1}    6.17{col 53}{space 3}0.000{col 61}{space 4} .2955214{col 74}{space 3} .5707095
{txt}{space 17}t6 {c |}{col 21}{res}{space 2} .3478078{col 33}{space 2}  .056036{col 44}{space 1}    6.21{col 53}{space 3}0.000{col 61}{space 4} .2379792{col 74}{space 3} .4576364
{txt}{space 17}t7 {c |}{col 21}{res}{space 2} .5441806{col 33}{space 2} .0429618{col 44}{space 1}   12.67{col 53}{space 3}0.000{col 61}{space 4}  .459977{col 74}{space 3} .6283841
{txt}{space 17}t8 {c |}{col 21}{res}{space 2} .5351862{col 33}{space 2} .0327924{col 44}{space 1}   16.32{col 53}{space 3}0.000{col 61}{space 4} .4709142{col 74}{space 3} .5994582
{txt}{space 17}t9 {c |}{col 21}{res}{space 2} .1571074{col 33}{space 2}    .0318{col 44}{space 1}    4.94{col 53}{space 3}0.000{col 61}{space 4} .0947806{col 74}{space 3} .2194342
{txt}{space 16}t10 {c |}{col 21}{res}{space 2} .1573442{col 33}{space 2} .0306262{col 44}{space 1}    5.14{col 53}{space 3}0.000{col 61}{space 4}  .097318{col 74}{space 3} .2173703
{txt}{space 16}t11 {c |}{col 21}{res}{space 2} .1684214{col 33}{space 2}  .027756{col 44}{space 1}    6.07{col 53}{space 3}0.000{col 61}{space 4} .1140206{col 74}{space 3} .2228222
{txt}{space 16}t12 {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (omitted)
{space 14}_cons {c |}{col 21}{res}{space 2} 4.289893{col 33}{space 2} .6692791{col 44}{space 1}    6.41{col 53}{space 3}0.000{col 61}{space 4}  2.97813{col 74}{space 3} 5.601656
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              /ln_r {c |}{col 21}{res}{space 2} 3.899642{col 33}{space 2} .1648077{col 61}{space 4} 3.576625{col 74}{space 3} 4.222659
{txt}              /ln_s {c |}{col 21}{res}{space 2} 4.029583{col 33}{space 2} .1829161{col 61}{space 4} 3.671075{col 74}{space 3} 4.388092
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                  r {c |}{col 21}{res}{space 2} 49.38476{col 33}{space 2} 8.138987{col 61}{space 4} 35.75266{col 74}{space 3} 68.21462
{txt}                  s {c |}{col 21}{res}{space 2} 56.23748{col 33}{space 2} 10.28674{col 61}{space 4} 39.29411{col 74}{space 3} 80.48673
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}228.27{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. 
. *close log file
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Ben Bagozzi\Desktop\Replication Files\Models_2_through_5_Tables_A5_A7_A9_A11_A13_A15_A17_A21.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}16 Apr 2021, 08:17:55
{txt}{.-}
{smcl}
{txt}{sf}{ul off}